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Literaturverzeichnis ABADIE, J. M., 1963-1: On decomposition principle. Operations Res. Center, Univ. California, Berkeley, ORC·63-20, 1963. -, and A. C. WILLIAMS, 1963-1: Dual and parametric methods in decomposition. In R. GRAVES, and P. WOLFE (Ed.): Recent advances in mathematical pro- gramming. New York, Toronto, London: McGraw-Hill 1963. ABLOW, C. M., and GEORGES BRIGHAM, 1955-1: An analog solution of programming problems. Operations Res. 3, 388-394 (1955). ADAM, A., F. FERSCHL, A. KLAMECKER, A. KLINGST, O. PICHLER, J. ROPPERT, H. SCHOLZ, K. WENKE und W. WETZEL, 1963-1: Anwendung der Matrizen- rechnung auf wirtschaftliche und statistische Probleme, 2. Auf!. Wiirzburg: Physica-Verlag 1963. AGMON, SHMUEL, 1954--1: The relaxation method for linear inequalities. Canad. J. Math. 6, 382-392 (1954). ALBACH, HORST, 1960-1: Lineare Programmierung als Hilfsmittel betrieblicher Investitionsplanung. Z. f. Handelsw. Forsch. 12, 526 (196(1). ALLEN, R. G. D., 1959-1: Mathematical economics. London: Macmillan 1959. ALLENDOERFER, C. B., and C. O. OAKLEY, 1955-1: Principles of mathematics. New York: Me Graw-Hill 1955. ANTOSIEWICZ, H. A. (Ed.), 1955-1: Proceedings of the Second Symposium in Linear Programming 1 and 2. National Bureau of Standards and Directorate of Management Analysis. DCS/Comptroller, UASF, Washington, D. C., 1955. ARROW, K. J., HI51-1: Alternative proof of the substitution theorem for Leontief models in the general cases. In T. C. KOOPMANS (Ed.): Activity analysis of production and allocation. New York: John Wiley & Sons, Inc. 1951. -, T. E. HARRIS, and J. MARSCHAK, 1951-1: Optimal inventory policy. Econo- metrica 19, 250-272 (1951). -, L. HURWICZ, and H. UZAWA, 1958-1: Studies in linear and non-linear pro- gramming. Stanford, Cal.: Stanford University Press 1958. -, L. HURWICZ, and H. UZAWA, 1961-1. Constraint qualifications in maximization problems. Naval Res. Logist. Quart. 8, 175-191 (1961). -, S. KARLIN, and H. SCARF, 1958-1: Studies in the mathematical theory of inven- tory and production. Stanford, Cal.: Stanford University Press 1958. -, S. KARLIN, and P. SUPPES (Eds.), 1960-1: Mathematical methods in the social sciences. Proc. of the First Stanford Symposium. Stanford, Cal.: Stanford Univer- sity Press 1960. BABBAR, M. M., 1955-1: Distribution of solutions of a set of linear equations (with applications to linear programming). J. Amer. Statist. Assoc. riO, 854--869 (1955). BALAS, E., 1963-1: Solution of large-scale transportation problems through aggregation. Bukarest: Mathemat. Inst., Rumanische Akademie der Wissen- schaften, November 1963. -, 1964--1: Extension de l' algorithme additif it la programmation en nombres entiens et it la programmation nonlim\aire. C. R. Acad. Sci. (Paris) 2M,5139 (1964).

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Page 1: Literaturverzeichnis978-3-642-87362-1/1.pdfLiteraturverzeichnis ABADIE, J. M., 1963-1: On decomposition principle. Operations Res. Center, Univ. California, Berkeley, ORC·63-20, 1963

Literaturverzeichnis

ABADIE, J. M., 1963-1: On decomposition principle. Operations Res. Center, Univ. California, Berkeley, ORC·63-20, 1963.

-, and A. C. WILLIAMS, 1963-1: Dual and parametric methods in decomposition. In R. GRAVES, and P. WOLFE (Ed.): Recent advances in mathematical pro­gramming. New York, Toronto, London: McGraw-Hill 1963.

ABLOW, C. M., and GEORGES BRIGHAM, 1955-1: An analog solution of programming problems. Operations Res. 3, 388-394 (1955).

ADAM, A., F. FERSCHL, A. KLAMECKER, A. KLINGST, O. PICHLER, J. ROPPERT, H. SCHOLZ, K. WENKE und W. WETZEL, 1963-1: Anwendung der Matrizen­rechnung auf wirtschaftliche und statistische Probleme, 2. Auf!. Wiirzburg: Physica-Verlag 1963.

AGMON, SHMUEL, 1954--1: The relaxation method for linear inequalities. Canad. J. Math. 6, 382-392 (1954).

ALBACH, HORST, 1960-1: Lineare Programmierung als Hilfsmittel betrieblicher Investitionsplanung. Z. f. Handelsw. Forsch. 12, 526 (196(1).

ALLEN, R. G. D., 1959-1: Mathematical economics. London: Macmillan 1959. ALLENDOERFER, C. B., and C. O. OAKLEY, 1955-1: Principles of mathematics.

New York: Me Graw-Hill 1955. ANTOSIEWICZ, H. A. (Ed.), 1955-1: Proceedings of the Second Symposium in Linear

Programming 1 and 2. National Bureau of Standards and Directorate of Management Analysis. DCS/Comptroller, UASF, Washington, D. C., 1955.

ARROW, K. J., HI51-1: Alternative proof of the substitution theorem for Leontief models in the general cases. In T. C. KOOPMANS (Ed.): Activity analysis of production and allocation. New York: John Wiley & Sons, Inc. 1951.

-, T. E. HARRIS, and J. MARSCHAK, 1951-1: Optimal inventory policy. Econo­metrica 19, 250-272 (1951).

-, L. HURWICZ, and H. UZAWA, 1958-1: Studies in linear and non-linear pro­gramming. Stanford, Cal.: Stanford University Press 1958.

-, L. HURWICZ, and H. UZAWA, 1961-1. Constraint qualifications in maximization problems. Naval Res. Logist. Quart. 8, 175-191 (1961).

-, S. KARLIN, and H. SCARF, 1958-1: Studies in the mathematical theory of inven­tory and production. Stanford, Cal.: Stanford University Press 1958.

-, S. KARLIN, and P. SUPPES (Eds.), 1960-1: Mathematical methods in the social sciences. Proc. of the First Stanford Symposium. Stanford, Cal.: Stanford Univer­sity Press 1960.

BABBAR, M. M., 1955-1: Distribution of solutions of a set of linear equations (with applications to linear programming). J. Amer. Statist. Assoc. riO, 854--869 (1955).

BALAS, E., 1963-1: Solution of large-scale transportation problems through aggregation. Bukarest: Mathemat. Inst., Rumanische Akademie der Wissen­schaften, November 1963.

-, 1964--1: Extension de l' algorithme additif it la programmation en nombres entiens et it la programmation nonlim\aire. C. R. Acad. Sci. (Paris) 2M,5139 (1964).

Page 2: Literaturverzeichnis978-3-642-87362-1/1.pdfLiteraturverzeichnis ABADIE, J. M., 1963-1: On decomposition principle. Operations Res. Center, Univ. California, Berkeley, ORC·63-20, 1963

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45*

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Sachverzeichnis

Addition - von Matrizen, Definition der 213 - von Vektoren, Definition der 206 Additivitat 7, 39-40 Aktivitat 2, 4, 7 -, Grad der 4 -, permanent zulassige 567 -, variable Koeffizienten der 498-505

-, mit einem Kontroilparameter 498

-, mit mehreren Kontrollpara-metern 503

Aktivitatsanalyse 7, 22 Aktivitatsmenge 41 Algorithmus -, gemischter 276 -, primaler-dualer 283-289 -, selbstdualer parametrischer

280-283 Alternativen, k-fache 609 Alternativsatz fUr Matrizen 25, 161 Analogkomputer 31 .Aquivalente Systeme (s. Systeme) Ausbildung auf der Arbeitsstatte 5,

65-68 .AuBerer FluB 41 Auszahlung 319 -, erwartete 326 Automation 1

und mathematische Programmie­rung 11-13

Basis -, dreieckige 348, 370, 388 - eines linearen Programms 95 - eines Vektorraums 209 -, Inverse der 229,243 - -, Produktform der 232 -, komplementare 276-278, 559

- bei quadratischen Programmen 559

-, primale und duale 276

Basis und Baum 405 (s. auch Matrix, Systeme, lineare Gleichungen, Vektor)

Basisliisung 26 (s. auch zulassige Liisungen)

-, Definition der 95 -, entartete 95, 117 -, optimale, zulassige 111-112

des gewichteten Zuteilungs­problems 471

des kapazitierten Transport-problems 429

des Transportproblems 346, 439 des Umladeproblems 394, 439 mittels der Methode der oberen

Grenzen 420 Basisvariablen 85 -, abhangige, unabhangige 85 Baum 402, 405 Bedingungen von KUHN und TUCKER

535 Bureau of Labor Statistics 21, 629

Chemisches Gleichgewicht 10, 545 Circling 117 (s. Kreisen) Combined Shipping Board 344 Cowles Commission 1, 18, 22, 29 Cycling 30, 117 (s. Kreisen)

DALKS 517 Darstellung - einer Aktivitat 250 - eines Vektors 210 Dekompositionsprinzip 33, 490, 507

(s. auch verallgemeinertes Programm von \VOLFE)

-, Gesprach tiber das 515-523 -, Hauptprogramm beim 509 - -, beschranktes 511 -, Iterationsverfahren beim 511 -, Teilprogramm beim 510 - -, unbeschranktes 513 Dekompositionssatz fUr Ketten 392,

441

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Sach verzeichnis 701

Deterministische Probleme 10 Diagramm von TUCKER 145, 148, 161,

277 (s. auch duales lineares Pro· gramm)

Dichotomie 609 Dimension eines Vektorraums 210 Diskrete Probleme 10 (s. auch nicht·

lineare Programmierung) Diskrete Programmierung 583-624 -, Iterationsverfahren fiir 601 -, Probleme lasbar durch 608 Doppelbeschreibungsmethode 30 Dreiecksmodelle 19, 31 Duales lineares Programm (System) 25,

57,71, 143-155 -, Beispiel des ehrgeizigen Industriel·

len und 301 eines gemischten Programms 146 eines Standardprogramms, eines

Programmsin Normalform 71,148 -, komplementare primale und duale

Basen und 276 -, Multiplikatoren von LAGRANGE und

167 -, Tucker-Diagramm fiir 145, 161,277 -, Zulassigkeit des 149 Duale Simplexmethode 276, 278 Dualitat 29 -, Fundamentalsatze iiber 155-163 Dualitatssatz 29, 139, 145 -, Beweis des 148-155 -, Matrixspiele und 329 -, schwache Form des 151 (s. auch

komplementarer Schlupf, Simplexmethode)

Dynamische Programmierung 10, 579 -, Funktionalgleichungsmethode fUr

588 -, Optimalitatsprinzip bei 111

zur Lasung des Rucksackproblems 588

Ecklasung (s. Extremlasung) Einheitsmatrix 224 Einheitsvektor 208 Einstufige Probleme 10 Eisen- und Stahlindustrie 35 Elektrizitatswerke -, Investitionsprogramm fiir 35 Elektroncnrechner -, Bedeutung zur Lasung des Er­

nahrungsproblems 632

Elementare Operationen 85-87 (s. auch Pivot-Operationen, Systeme

linearer Gleichungen) Eliminationsmethode zur Lasung von

Ungleichungssystemen 98 Endlichkeit (s. auch Entartungsfall)

des Algorithmus fUr diskrete Pro­gramme 606

des Algorithmus fUr verallge­meinerte Programme 496

des quadratischen Algorithmus 563 des Simplexalgorithmus 117, 139,

142, 270 ENIAC 15 Entartungsfall 30, 117, 141, 256, 262,

266 beim primalen oder dualen System

282 beim Transportproblem 351 beim Zuordnungsproblem 363

(s. auch Kreisen, lexikographische Regel, Zufalls-Auswahl-Regel)

Ernahrungsmodell 133, 137 -139 fUr die Hausfrau 3

- von STIGLER 625-643 - von THRALL 73 Ernahrungspillen -, Fabrikant von 301-304 Ersatzprozesse 249 Erwartungskosten 568 Erwartungswert 569 Exogener FluB 41 ExtremlOsung 26 (s. auch Extrem-

punkt) Extrempunkt( e) 179 -, Linearkombination von 198 -, nicht ganzzahliger 586

Farkassches Lemma 26, 144, 159, 169 Fehlervariable 151 (s. auch kiinstliche

Variablen) Firma 23 Fixe Kosten, Problem der 618 Flugrouten 35, 644-670 FluB -, auBerer, exogener 18, 41 (s. auch

Netzwerk) -, maximaler 438 - -, Gleichgewichtsbedingungen fiir

den 439 FluBdiagramm - der Simplexmethode 122

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702 Sachverzeichnis

FluBdiagramm des Algorithmus fiir die quadratische Programmierung 563

FluBkapazitat 438 Fiihrender Koeffizient 267

Ganzzahlige Formen -, Methode der 590-608 (s. auch dis·

krete Programmierung) Ganzzahlige Programmierung 33

(s. auch diskrete Programmierung) Generische Spalte 493 Geschichte der linearen Programmie.

rung, Tabelle der 15 Gewichte einer Linearkombination 82,

206 - von Gleichungen 243 (s. auch Sim·

plexmultiplikatoren) Gestiirtes Problem 266, 270-272

beim Transportproblem 352 (s. auch lexikographische Anordnung, lexikographische Regel)

Gleichgewichtsbedingungen 41 Gradient 184, 198 Graph - linearer 27, 400 (s. auch Netzwerk)

Halbebene 175 Halbraum 175 Handlungsreisender -, Problem des 619-620 Hausfrauenproblem 4-5, 74 Heiratsspiel 367, 380, 586 Homogene Systeme (s. Systeme) Hyperebene 175 -, schneidende 589

IBM.Komputer 15, 31 Industrielle Anwendung der linearen

Programmierung 33-35 Industrieller -, Plan des eh:rgeizigen 299 Inkonsistentes Gleichungssystem 81 Inneres Produkt von Vektoren 213 Input.Qutput.Koeffizienten 41, 308,

312 Input.Qutput.Matrix 22 (s. auch

tableau economique) Inverse einer Matrix 219 Iterationen -, Anzahl der 117,185,283,418

Job·Shop·Produktion 34

Kanonische Form (s. Systeme)

Kante - eines konvexen Polyeders 180, 185 - eines Netzwerks 400 Kantenfolge 401 Kapazitiertes System 420 Kegel 194 Kette in einem Graphen 401 KettenfluB 441 Knotenpunkt 400 Koalitionstheorie 10 Kombinatorische Probleme 361, 584 Komplementare primare und duale

Basen 276 Komplementarer Schlupf -, Anwendung auf Matrixspiele 330 - in primalen und dualen Systemen

157 -, TUCKERS Satz yom 162 Konkave Funktion 534 -, glob ales Minimum fiir 614 Konservenfabrikant -, Beispiel des 3, 42 (s. Transport.

probleme) Konsistentes Gleichwlgssystem 81 Konstruktion eines Modells 40-41 Kontinuierliche Probleme 10 Kontrollparameter 503-505 Konvexe Funktion 178 Konvexe Gebiete 171-180 Konvexe Hiille 187 Konvexe Menge(n) 172 -, abgeschlossene 172 -, Durchschnitt von 173 -, polyed:rale 495, 509 - -, unbeschrankte 513 Konvexe Programmierung 10, 32, 497,

534-565 -, Annahme der Nichtentartung fUr

536 -, Bedingungen von KUHN und

TUCKER fiir 535 -, Reduktion der, auf ein verallge.

meinertes Programm 497 (s. auch Problem des chemischen Gleichgewichts, quad:ratische Programmierung)

Konvexes Polyeder 176 -, Kante eines 180, 185 Konvex.separable Zielfunktionen

547-555 Kosten 41, 70

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Sachverzeichnis 703

Kostenfaktoren -, relative 11, 257-259, 307 Kostenkoeffizienten 70, 310-311 Kreis in einem Graphen 402 -, einfacher 402 Kreisen (circling, cycling) beim Sim­

plexalgorithmus 30, 117, 141, 244,262,265

-, Beispiele des 263, 264 (s. auch Entartungfall )

Kiinstliche Variablen 110, 119-120, 151, 152, 270, 279

Lagerhaltung 10, 63-65, 77, 476 -, Beispiel fiir 571-575 (s. auch

Planung) Lagrange-Multiplikatoren 163 -167,

243,534 -, Definition der 164 Lagrange-Parameter 163 Lateinische Quadrate -, orthogonale 621 Lebensmittelverarbeitungsindustrie 34 Leere Losungsmenge 81 Leontiefsches Modell (System) 10, 23,

242 Lexikographische Anordnung 266, 337

(s. auch gestiirtes Problem, Vektor) Lexikographische Regel 256, 269 Lineare Abhangigkeit und Unabhangig­

keit von Vektoren 207 Lineare Gleichung 2 (s. auch Systeme

linearer Gleichungen) -, inkonsistente, unlosbare, wider­

spruchsvolle 83, 119 -,leere 83 -, redundante, iiberfliissige, iiber-

zahlige 83, 118 Lineare Programmierung (s. auch

lineares l'rogramm) -, Annahmen bei der 7,38-40 -, Definition der 6-8 - bei UngewiBheit 566-582,644 -

670 -, Geschichte der 14-37 -, graphische Methoden bei der

40-63 -, mathematisches Problem der 42, 68

als Schwerpunktproblem 186 - - in N ormalform, Standardform 68 - - in Ungleichungsform 99-103 -, Methode der Lagrange-Multiplikato-

ren bei der 163-167

Lineare Programmierung -, parametrische 280-283 -, Standardproblem der 40,68 - und Spieltheorie 318-342 - und Wirtschaftsmodelle 19-24 Lineare Ungleichungen 2 -, Systeme von 24-25, 95-103 (s.

auch konvexe Gebiete, lineare GIeichung)

Lineares Programm -, Aquivalenz von Spiel und 328-334 -, Geometrie des 191-199

in abgekiirzter Koeffizientenform 82 - mit nach oben begrenzten Variablen

418-437 -, verallgemeinertes 490-498 (s. auah

lineare Programmierung, Simplex­methode)

Lineares Programmierungsmodell 7, 23, 24

-, Aufstellen eines 38-79, 625-632 -, Tableauform eines 49 -, vielstufiges 9 Lineares Ungleichungsproblem 10, 99 Linearitat 20, 23 - der Zielfunktion 40 Linearkombination 26 - von GIeichungen 82 - von Vektoren 206 Losbares GIeichungssystem 81

lUanagement Science 4 Manager einer Werkzeugmaschinen-

fabrik -, Beispiel des 292-299 Markoffsches Gleichungssystem 241 Markoffsche Ketten 10 Mathematische Programmierung 2 -, Beziehung zwischen Automation

und 11-13 (s. auch Programmie­rungsproblem)

Matrix, Matrizen -, Addition von 213 -, Alternativsatz fiir 25, 162 -, Definition der 212 -, doppelt stochastische 362 - eines Spieles 318 (s. auch Spiele) - eines Transportproblems 346 -, elementare 230 -, Inverse einer 219-225 -, Multiplikation von 216 -, nichtsingulare 219

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704 Sachverzeiclmis

Matrix, Matrizen -, Produkt von 216 -, Produkt von Vektor und 214, 216 -, schiefsymmetrische 331 -, Transponierte einer 213, 224

(s. auch Vektor) Matrixalgebra 217-219 Matrixspiel 318-328 -, aquivalentes lineares Programm zu

einem 329 -, Definition des 319 -, Losung eines 330 - -, konstruktives 334-340 -, Wert eines 330 Matrizenoperationen 212-217 Metallegierung -, Herstellung einer optimalen 50-58 Metallindustrie 35 Minimallosung -, globale 166, 177 -, lokale 167, 177 Minimaxsatz 25, 29 -, Beweis des 329-330, 334-340 Mischstrategie 326, 328 -, optimale 328, 333, 337 Mischungsprobleme -, Anwendung der Simplexmethode

auf 128 -, Beispiele von 50, 54, 58, 186 Mittelwert mit Gewichten 55 Modell -, Aufstellung eines 6 -, Leontiefsches 20, 22 -, mathematisches 2,6 -, vielstufiges 9 -, Walrasisches 19 Morra 30 Multiplexmethode 31 lVlultiplikatoren 82 (s. auch Simplex.

multiplikatoren) - von LAGRANGE 163-167, 243, 534 - -, Definition der 164, 206

Nahrwerte von Lebensmitteln 630 National Bureau of Standards 30, 31 Netzwerk 10, 32, 343, 400-417,

438-457 -, Definition des 400 - in der Ebene «7 -, Knotenpunkt (Punkt) in einem 400 -, kiirzester Weg in einem (s. Problem

des kiirzesten Weges) - mit Kapazitaten 27

Netzwerk -, Problem des maximalen Flusses

in einem 385-403 -, Baummethode zur Losung des

452-457 -, Theorie von FORD und FULKER·

SON zum 438-457 -, zusammenhangendes 394 Nichtlineare Programmierung 10 (s.

auch konvexe Programmierung, dis· krete Programmierung)

Nichtnegativitat 7, 39 Nichttriviale Losung eines homogenen

Systems 159 Normalform eines linearen Programms

68,100-103

Olraffinerien 34 Operations Research 6 Optimalitatstest 111-112

Papiermiihlen 35 Permutation 360 Permutationsmatrix 362 Phase I der Simplexmethode llO, 120 -, anderes Kriterium fiir 289 Phase II der Simplexmethode llO, 121 -, gestortes Problem fiir 270 Pillenproblem 301-304 Pivot 89 Pivot·Blocke 233 Pivot·Gleichung 92 Pivot·Operationen 92, 139, 200-204 -, Eigenschaften von 200 - 204 - mit Pivot·Blocken 233 Pivot.Teilsystem 201 Pivot·Theorie 200-204 Pivot·Variable 92 Plan (s. Programm) Planung

bei variablen Kosten 566-571 - mittels diskreter Programmierung

583 -, Organisation der 26 - von Aktivitaten iiber einen Zeit·

raum 5 Polyeder 176 Posten 38, 69 Postenmenge 41 Preisbegriff in der linearen Program.

mierung 292-317 -, Vorzeichenvereinbarung beim 304

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Sachverzeichnis 705

Preise 27, 243 -, implizite (s. Simplexmultiplikato-

ren) Preisfestsetzung (pricing out) 249, 305 Primale-duale Methoden 276,283-289 Primales System 25, 57, 144 -, beschranktes 283 - -, erstes 287 Primales und duales System, Beziehun­

gen zwischen 278 Problem

der Ausbildung auf der Arbeitsstatte 5,65-68,77-79

der tixen Kosten 584, 618 der KontraktwaW 35 der Lagerhaltung 63-65, 77, 476,

571-575 der lateinischen Quadrate 621 der leeren Behalter 584 der optimalen Zuordnung 361-367 der Produktemischung 58-63,

73-76, 186, 189 der Servietten 417 der Tankschiffbeschaffung 515 -, Gesprach tiber das 515-523 der vielstufigen Maschinenplanung

584 des chemischen Gleichgewichts 545 des Fabrikanten von Ernahrungs­

pilien 301-304 des Flugplans bei ungewisser Nach­

frage 644-670 des ehrgeizigen Industriellen

299-301 des Handlungsreisenden 584,

619-620 des Konservenfabrikanten 3 des ktirzesten Weges 382, 411-416,

584, 586 (s. auch Umladeproblem) des Managers einer Maschinenfabrik

292-299 des Managers mit fast unabhangigen

Betrieben 507 des Speiseplans 625-643 des Versandplans per Flugzeug 584 des Zeltplatzes 321-322 kombinatorischer Natur 361, 584

-, probabilistisches 10 Produkt von Matrizen -, Definition des 217 Produktemischung 58-63,73-76, 186,

189

Produktionskontrolle 12 Produktionsplanung, Produktionspro­

bleme 26 Program Monitoring (Programmkon­

trolle) 17 Programm2 -, Beziehung zwischen, und Automa-

tion 11-13 -, Definition des 2 -, Klassifizierung eines 8-11 -, konvexes 490-505, 534-565 -, mathematisches 2

mit veranderlichen Koeffizienten 490-506 (s. auch verallgemeiner­te Programme von WOLFE)

-, unendliches 28 -, umfangreiches 490 (s. auch De-

kompositionsprinzip) -, vielstufiges (s. vielstufige Pro­

gramme) -, zulassiges 41 (s. auch lineare Pro-

grammierung) Programmierung -, lineare (s. lineare Programmierung) -, mathematische 2 -, nichtlineare 10 (s. auch konvexe

Programmierung, diskrete Pro­grammierung)

-, parametrische 276 -, Algorithmus fUr 280-283 unter UngewiBheit 33, 566-582 -, Minimale Varianz bei festen Er­

wartungskosten bei 569-571 -, Minimierung der Erwartungs­

kosten bei 567 -568 Programmierungsmodell 6 Programmierungsproblem 2

(s. auch lineare Programmierung) -, deterministisches 8 -, Klassifizierung eines 8-11 -, lineares 38-40, 68 -, probabilistisches 9 (s. auch Pro-

grammierung unter UngewiBheit) Programmierungstableau 48-49 Projektionsmethode 30 Proportionalitat 7, 23, 38-39, 69 ProzeB 7 (s. Aktivitat) Punkt - in einem Graphen 400 - in n Dimensionen 173

Quadratische Form -, Konvexitat einer 556

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706 Sach verzeichnis

Quadratische Form, positiv (semi-) definite 556

Quadratische Programmierung 32, 555-563

-, Algorithmus fur 563 -, Anwendungen der 555 -, Eigenschaft der Komplementaritiit

der Basen bei 559 -, Optimalitiitskriterien fUr 558

Rang einer Matrix 218

- eines Gleichungssystems 204 - eines Vektorraums 210 RAND-Corporation VIII, IX, X, 15, 29,

31 RAND-Kodes 15 Raum (s. Vektorraum) Rechenkodes 15, 31, 232, 250, 265 Rechentechniken 30 Reduktion

auf ein Ungleichungssystem 103 auf kanonische Form 224-225 eines Spieles auf ein symmetrisches

Spiel 331-333 eines Programms auf ein symmetri-

Bches Spiel 333-334 Regression 555 Relaxationsmethode 30 Rentable Produktion 555 Rucksackproblem 586

Sattelpunkt 325 Scheinvariable (s. kiinstliche Variable) Schema (s. Programm) Schiffsrouten 35 Schlinge eines linearen Graphen 477 Schlupf 157 Schlupfkante 477 Schlupfvariable 68, 100 Schnitt 447 - minimaler, und maximaler FluB 447 Schnittwert 447 Schwarzer Kasten 38 Schwerpunkt 56, 107, 186 Scoop 17,18 SEAC 15 Sensitivitiitsanalyse 305-316 Serviettenproblem 417 Simplex 189, 190 Simplexalgorithmus 110-117, 270 -, Endlichkeit des 117, 139, 142, 270

Simplexalgorithmus in Matrizenform 226-234

-, Induktionsbeweis fiir den 139-143 -, Varianten des 275-291

(s. auch Simplexmethode) Simplexmethode 1, 18,29-30,110-138

bei Variablen mit oberen Grenzen 420-423,427-428

beim Beweis des Dualitiitssatzes 150-155

-, duale 278-280 -, Endlichkeit der, bei Starung

262-274 -, FluBdiagramm fiir 122 -, geometrische Interpretation der

181-185 -, Lasung des Transportproblems mit

der 345-353 -, Lasung des Umladeproblems mit der

394-398 -, Methode der Lagrange-Multiplika­

toren und 167 mit Multiplikatoren 124, 243-261 - bei Variablen mit oberen Gren­

zen 427-428 -, rechentechnische Bemerkungen

zur 249-251 -, rechentechnische V orteile der

243-244 -, Preismechanismus der 292-317 -, reguliire 243 -, revidierte 243 (s. Simplexmethode

mit Multiplikatoren) -, Simplexinterpretation der 185-191

und Dekompositionsprinzip 510-511 (B. auch Phase lund Phase II der Simplexmethode, SimplexalgorithmuB)

Simplexmultiplikatoren 228, 243, 245, 249-250,254,271,490

beim gewichteten Zuteilungspro­blem 473-474

beim Transportproblem 349 Simplexmultiplikatoren beim

Umladeproblem 390 - beim Zuordnungsproblem 371 -, Definition der 254, 490 - interpretiert als Preise 292-317 Skalarkomponenten 205 Skalares Vielfaches 206 Spaltenspieler 320 -, Problem des 329

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Sachverzeiclmis 707

Spaltenvektor 205 Spiele -, strikt determinierte 322 -, symmetrische 331 - -, Reduktion auf 331-334 -, Theorie der 28, 29 - und lineare Programme 318-342

(s. auch Matrixspiel) -, Zweipersonen-Nullsummen- 10

(s. auch Minimaxsatz) Spieler bei Matrixspiel 319 -, konservativer 325 Standardform eines linearen Programms

68,100-103 Standardproblem del' linearen Program­

mierung 40 Statistisches Kontrollsystem 16 Stochastische Programmierung (s. Pro-

grammierung unter UngewiBheit) Strahl 194 Strategie -, gemischte 326, 328 - -, optimale 328, 333, 337 -, reine 319 (s. auch Spiele) Streckenprobleme 19 Strukturmatrix 33 Summe -, gewichtete 206 - von Matrizen, Definition del' 213 - von Vektoren, Definition del' 206 Systeme linearer Gleichungen odeI' Un­

gleichungen 2,24,80-109 Systeme (s. auch lineare Gleichung,

lineare Ungleichungen) -, abhangige 83 -, aquivalente 85, 202-204 -, diagonale 89 -, dreieckige 89 -, homogene 26, 158,219

-, nichttriviale Lasung fiir 159 -, Satz von GORDAN fiir 158 -, Satz von STIEMKE fiir 160 - und unbeschraukte Lasungs-

mengen 513-514 -, inkonsistente 81, 95 -, Inkonsistenzsatz fiir 202 -, irredundante 83 -, kanonisch-aquivalente 93-94 -, kanonische 87 -95, 110, 201, 220,

251 -, konsistente 81, 95 -, lasbare 81, 95

Systeme, quadratische 87 -90 -, redundante 83 -, Redundanzsatz fiir 202 -, reduzierte 92 -, Rang bei 204 -, unabhangige 83 (s. auch

lineare Gleichung) -, unlasbare 81, 95 -, unzulassige, zulassige 81, 95, 149

Tableau economique 15, 19, 22 Theorie von FORD und FULKERSON

438-452 Transportproblem 22, 30, 32, 72,

118-119, 343-360 (s. auch Zu­ordnungsproblem, Umlade­problem)

-, Algorithmus fiir das 353-358 -, Definition des 343 -, Dreieckseigenschaft del' Basen beim

348 -, Entartungsfall beim 351-353 -, Ganzzahligkeit del' Basisvariablen

beim 349 -, Geschichtliche Ubersicht iiber das

343-344 -, klassisches 343 -, kapazitiertes 420-434 - -, Aquivalenz des Transportpro-

blems und des 433-434 -, Lasung des, durch die Simplex­

methode 346-353 -, Lasung des, mit beschrankten Vari­

ablen 428-436 - mit beschrankten Partialsummen

von Variablen 434-436 -, primale-duale Methode fiir das 458

-467 -, Problem des Konservenfabrikanten

als Beispiel fiir das 3-4. 42 -, Regel del' kleinsten Kosten fiir das

354,376 -, Tabelle fiir das 345-346 -, Variablen mit festen Werten fiir das

376 -, zulassige Lasungen fiir das (s. Basis-

lasung) Transpositionssatz 25, 161 Treppensysteme 529 Triviale Lasung eines homogenen Sy­

stems 159

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708 Sachverzeichnis

Tucker-Diagramm 145, 148, 161, 277 (s. auch duales lineares Programm)

Umladeproblem 27, 382-399 (s. auch Problem des kiirzesten Weges)

-, Aquivalenz von Transportproblem und 390-393

-, Dreieckseigenschaft der Basen beim 388

-, Formulierung des 382-383 -, Losung des, mittels des zugehorigen

Graphen 406-410 -, Losung des, mit der Simplexmethode

394-398 -, Netzwerke und 384-385, 400-417 -, Standardform des 386-390 -, U mladeverfahren fur das 386 -, Verfahren des direkten Versands fiir

das 385 -, zulassige Losungen fiir das (s. Basis­

losung) Umladevariable 387 Ungarische Methode 283, 458 (s. auch

Zuordnungsproblem) UngewiJ3heit 9, 33, 566-582 Ungleichung (s. lineare Ungleichungen) UNIVAG31 Unlosbares Gleichungssystem 81 Unternehmungsforschung 6 Unternehmensfiihrung -, Wissenschaft von der 6 UnzuIassige Gleichung 103 Unzulassige Ungleichung 95 Unzulassigkeitsform 120, 270, 632, 634 Unzulassigkeitssatz 150, 159

Variablen -, diskrete 583 - 624 -, fiihrende 276 - -, Methode der 276 -, ganzzahlige (s. diskrete Variablen) -, kiinstliche 110, 119-120, 151, 252,

270 bei der dualen Simplexmethode

279-280 (s. auch Phase I der Simplexmethode)

mit oberen Grenzen 418-437 -, nichtganzzahlige 589 Varianten des Simplexalgorithmus

274-291 Varianz -, minimale 555, 569

Vektor -, Darstellung eines, in bezug auf eine

Basis 210 -, Definition des 205 -, lexiko-positiver 273, 337 -, linear abhangiger 207 -, Produkt von Matrix und 214 Vektoren -, linear abhangige Menge von 208 -, linear unabhangige Menge von 207 -, Rechenoperationen mit 205-206 Vektorgleichungen 208 Vektorraum 208-210 Verallgemeinertes Programm von

WOLFE 490-498 - als lineares Programm 491 -, aquivalente Formulierung eines 496 -, Definition des 491 -, Hauptprogramm fiir 491 - -, beschranktes 495 -, Hilfsprogramm (Teilprogramm) fUr

495 -, Spezialfalle 498-505 - zur Losung des Problems von KUHN

und TUCKER 535 Veranderung

der Input-Output-Koeffizienten 308, 312

der konstanten Koeffizienten 309 der relativen Kostenfaktoren 307,

310 Verbindungsstrecke 173 Vermutung von HIRSCH 186, 193 Verschnittproblem 584 Vertragsangebote 19 Vielstufige Modelle (Programme, Pro­

bleme) 9, 10 -, Anwendung des Dekompositions­

prinzips auf 528-532 bei UngewiJ3heit 575-580 (s. auch

Planung von Aktivitaten uber einen Zeitraum)

Vielzweckmaschinen 13 Vierfarbenproblem 622 V orzeichenvereinbarung bei Preisen 304

Walrasisches System 19 War Production Board 16 Wartungsplane 19 Welfare Economics 23 Werkzeugmaschinenfabrik -, Manager der 292-299

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Sachverzeichnis 709

Wirtschaftsmodelle und lineare Pro-grammierung 19-24, 292

Zeilenspieler 320 -, Problem des 329 Zentralplanung ohne vollstandige In-

formation am Zentrum 523-527 Zielfunktion (Zielform) -, homogene 543-546 -, konvex-separable 547 -555 -, lineare 40, 70 -, nichtlineare, und diskrete Program-

mierung 613-615 -, unbeschrankte 139, 150 Zufall und Bluff 323-324 Zufallsereignis 9 Zufalls-Auswahl-Regel 117, 143, 256,

265 (s. auch Kreisen) Zulassige Losungen 70, 177, 179, 180

(s. auch Basislosung) -, Definition der 70

fiir Anfangsbasis 27, 111, 118 (s. auch Phase I der Simplexmethode)

fiir primales und duales System 149 -, konvexe Mengen von 176 (s. auch

Extrempunkte) -, optimale 71 Zulassiges Programm 41 Zuordnung mit Uberschu13 und Defizit

367-376 - als Transportproblem 368 -, Beispiel der, mit Schlupf 372

Zuordnungsproblem 283, 357, 361, 584, 586 (s. Zuteilungsprobleme, Zutei­lung von Flugzeugen zu Strecken)

-, Aquivalenz von Transportproblem und 364

-, Definition des 361 -, Entartung beim 363 -, typische Anwendungen des 366 Zuteilung von Flugzeugen zu Strecken

644-670 - bei fester Nachfrage 646-651 - bei ungewisser Nachfrage 652-670 -, Formulierung des Problems der 644 Zuteilungsprobleme 361-381,

418-419 (s. auch Zuordnungs­probleme)

mit festen Werten 376 mit Gewichten 26,468-489 -, Anfangslosung fUr 471 -, Beispiel fiir 650 -, fest dreieckige Form der Basen

fUr 474 -, Graphenstruktur der Basis fUr

476-481 -, Standardform der 468 -, Teilklasse mit optimalen Basen

von Dreiecksform bei 481-488

und primale-duale Methode 283 Zuwachs der Nachfrage 654 Zuwachsvariable 654 Zuwachswert 654

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Namenverzeichnis

Ablow, C. 31 Aiken 15 Almon, C. IX, 292, 523 Arrow, K. J. 11, 22, 32

Babbage 15 Balinski, M. VIII Barankin, E. W. 32, 555 Barth, E. X Baumol, W. J. VIII, 24 Beale, E. M. L. 31, 32, 117, 141,262,

264, 265, 272, 273, 276, 591 Beckenbach, E. F. X Beckmann, M. J. 24 Bell, E. J. X Bellman, R. 11,414,579 Belz, M. H. 35, 584 Berge, C. 32 Birkhoff, G. 32, 363 Blattner, W. O. IX, 305 Boelter, L. M. K. 12 Borden, J. VIII Borel, E. 29, 319 Bose, R. C. 621 Bott, D.XII Brede, 1\'I. XII Brigham, G. 31 Brown, G. W. 22, 30. 31, 333 Burns, R. X

Cahn, A. 18, 30, 467 Carroll, L. 39 Charnes, A. 15. 24, 29, 30, 32, 34, 265,

273,467,547,615 Chatto, K. 137 Clark, J. IX Clasen, R. 459 Cooper, W. W. 15, 24, 29, 30, 34, 467 Cornfield, J. 21, 625 Cottle, R. X Cox, C. B. 137 Crandall, H. W. 24, 34 Curtiss, J. H. 18, 30 Cutler, L. IX, 276

Dalkey, N. C. 29 Dalks, F. M. 517 Dantzig, A. S. V, X Dantzig, G. B. XI, 2, 15, 28, 29, 31, 32,

33, 34, 35, 139, 243, 265, 266, 273, 276, 283, 289, 330, 333, 334, 348, 413, 414,418,452,467,490,503,508,534, 545,547,555,566,575,578,579,590, 608,615,618,619,644,645,646

Dantzig, T. V Diehl, H. XII Diehm, C. 31 Dines, L. L. 25 Doig, A. G. 35, 584 Dorfman, R. IX, 15, 18, 22, 23, 24, 32,

301, 334, 555 Dresher, M. IX, 29, 318 Duffin, R. J. 28 Dvoretsky, A. 11

Edmondson, J. H. 265 Eckert 15 Egervary, E. 32, 283, 344, 458 Einstein, H. IX Eisemann, K. 35, 584 El.Agizy, M. X Elmaghaby, S. E. 569 Eufinger, J. XII Euler, L. 621 Evans, W. D. 21, 22

Fabian, T. IX, 24, 35 Farkas,J. 15,26,144,159 Feller, W. 566 Ferguson, A. R. 35, 566, 644, 645, 646 Fisher, W. D. 35 Flood, M. M. 22, 458, 619 Ford, L. R. 15, 32, 276, 283, 289, 344,

438,447,458,459,508 Fourier, J. B. 14, 15, 25, 98, 108, 195,

198 Frisch, R. 31 Fulkerson, D. R. VIII, 15, 29, 32, 33,

35, 276, 283, 289, 344, 414, 438, 447, 452, 458. 459, 508, 590, 619

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Namenverzeichnis 711

Gaddum, J. W. 417 Gainen, L. 35 Gale, D. 15, 22, 29, 144, 318, 330, 331,

414,621 Garvin, W. 24, 34 Gass, S. 276, 282 Gauss, K. F. 15,24,88 Gavurin, M. K. 27, 343 Geisler, M. A. 15, 17, 19, 22 Georgescu-Roegen, N. 22 Gibrat, R. 15, 24, 35 Glicksberg, 1. 11, 577 Goldman, A. J. 29,144 Goldstein, L. 35 Goldstine 15 Gomory, R. VIII, 33, 284, 490, 583, 590,

591,604,607 Gordan, P. 15, 25, 158, 159 Greene, J. H. 137 Gross, 0.11 Gunther, P. 659

Hahnos, P. R. 367, 380 Harary, F. 477 Harris, T. E. X, 11 Hartley, H. O. 534 Haydon,B. X Hehner, O. 29 Henderson, A. 30, 34 Hermann, C. C. 7 Hicks, C. R. 137 Hirsch, W. M. 186, 193, 618 Hitchcock, F. L. 15,234,344,356,382,

418,458 Hoffenberg, M. 21, 22 Hoffman, A. J. VIII, 30, 31, 32, 117,

141, 262, 263, 265, 272, 417, 586 Hogan, J. X Hollerith 15 Houthakker, H. S. 32 Hu, T. C. 490 Huppertsberg, B. XII Hurwicz, L. 22, 29, 32

Jackson, J. R. 34 Jacobs, W. W. 19,417 Jaeger, A. 513 Jaeger, E. XII Jewell, W. S. 508 Jochim, V. XII John, J. B. 24, 34 Johnson, S. 15, 33, 545, 555, 584, 590,

619 Jordan, W. 24

Judd, H. 276 Juncosa, M. L. 35 Kalaba, R. E. 35

Kantorowicz, L. V. 14, 15, 26, 27, 75, 343

Karlin, S. 29 Kawarantani, T. K. 503 Kelley, J. E. 197 Kemeny, J. G. 77 Kiefer, J. 11 Konig, D. 401, 477 Koopmans, T. C. 1,7,15,18,20,22,23,

24,29,30,234,344,385,390,400,418 KruskaI, J. B., Jr. 586 Kuhn, H. W. VIII, 15, 22, 28, 29, 32,

144, 276, 283, 318, 319, 330, 331, 344, 458,497,534

Kiinzi, H. P. XI

Laderman, J. 15, 30, 625 Lagrange, J. L. 163, 164, 167 Land, A. H. 35, 584 Lerned, E. P. 17 Lemke, C. E. 31, 32, 276, 289, 547, 615 Leontief, W. 15, 17, 20 Lerner, A. 22 Little, J. 459 Luce, R. D. 318

Madansky, A. IX, 33, 566, 575, 579 Magee, J. F. 7 Manne, A. S. 15, 24, 34, 434, 584, 615 Mannos, M. 30 Marek, M. R. X Marcus, M. 363 Markowitz, H. 15, 24, 32, 290, 481, 483,

489, 555, 556, 569, 571, 584, 615 Marschak, J. II, 22 Masse, P. 11, 15, 24, 35 Mauchley 15 Maynard, H. B. 35 McCoy, L. H. 25 McKinsey, J. C. C. 29 Mellon, B. 15, 24, 34 Minkowski, H. 15, 26, 198 Monroe, A. E. 19 Montalbano, M. 31 Moore, E. F. 414 Morgenstern, O. 15, 22, 25, 28, 319,331 Morin, G. 35 Motzkin, T. 15, 24, 25, 30, 98, 108, 161,

195,198 Munkres, J. 458

Page 42: Literaturverzeichnis978-3-642-87362-1/1.pdfLiteraturverzeichnis ABADIE, J. M., 1963-1: On decomposition principle. Operations Res. Center, Univ. California, Berkeley, ORC·63-20, 1963

712 Namenverzeichnis

Nachtigal, E. X Natrella, J. V. 19 Neyrnan,J.15,21,28 Norton, J. 17

Ollmert, H.·J. 262, 265, 273 Orchard-Hays, W. IX, 15, 31, 78, 115,

232, 243, 276, 282 Orden, A. 15, 30, 31, 139, 232, 265, 266,

273, 359, 360, 382

Parker, E. T. 621 Pascal 15 Paull, A. E. 35, 584 Pearson, E. S. 28 Pearson, K. 21 Peters, K. XII Prager, W. 417, 467 Pyne, I. B. 31

Quade, E. S. X Quesnay 15, 19, 20

Rabusseau, R. XII Raiffa, H. 30, 318 Randolph, P. IX Rawlings, E. W. 17 Reiter, S. 22, 385, 390, 575 Renkewitz, H. XII Robacker, T. 131 Rosen, J. B. 33 Rutsch, M. XII Ryan, M. IX

Saaty, T. L. 276, 282 Salveson, M. E. 34 Samuelson, P. 15, 18, 22, 23, 24, 301 Scarf, H. 574 Schlaifer, R. 34 Schoenberg, I. J. 30 Schruben, L. W. 35 Schulmann, H. XII Shapiro, M. IX Shapley, L. S. IX, 29, 341 Shaw, C. 418 Shukhande,S.S.621 Simon, H. 22, 575 Slater, M. 534 Sokolowsky, D. 30, 417 Solow, R. M. 15,24,301 Spellman, R. A. 24, 34

Steinberg, D. A. X Steinitz, E. 198 Stewart, D. G. X Stibitz 15 Stiemke, E. 15, 25, 160 Stigler, G. J. 5, 30, 567, 625, 626, 627,

633 Stokes, R. W. 25 Sussman, B. X Symonds, G. H. 24, 34

Theil, H. 575 Thompson, G. L. 30 Thornton, C. B. 16 Thrall, R. M. 30, 73 Tompkins, C. B. 22, 30 Trinkl, F. IX Tucker, A. W. V, VIII, 15, 18, 22, 25,

28, 29, 32, 85, 100, 144, 145, 158, 161, 162, 180, 200, 232, 318, 319, 330, 331, 334, 337, 338, 497, 534, 620

Ullman, R. J. 503 Uzawa, H. 32, 534

Vajda, S. 31 Vallee Poussin, A. de la 25 Van Slyke, R. M. IX, X Vaughan, H. E. 367, 380 Ville, J. 25, 29, 161 Von Neumann, J. 7, 15, 18, 19, 25. 28,

29, 143, 144, 145, 318, 319, 328, 330, 331,363

Wade, B.L. X Wald, A. 11, 15, 28 Walras, L. 19 Walter, J. R. 35, 584 Waugh, F. V. 131, 261 Wenke, K. 513 Wets, R. X Weyl, H. 25 White, W. B. 545, 555 Wiegman, N. 30 Williams, J. D. V, VIII, 15, 29, 318,

319, 320, 321, 326, 534 Wolfe, P. IX, 15,32, 38, 139, 198,232,

265,266,273,276,324,490,508,534, 555, 556, 571, (j16

Wolfowitz, J. 11 Wood, M. K. 2, 15, 17, 19, 22

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