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                    | Chvatal V. — Linear programming | 
                  
                
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                    | Предметный указатель | 
                  
                
                    
                        Muir, F.      221  
Multicommodity flow problems      435  
Multiple optimal solutions      22—23  
Multiple pricing      115  
Multiplication of matrices      79—82  
Multipliers      55—56 144  
Multistage problems      see "Scheduling production and inventory"; "Personnel training example"; "Caterer problem"  
Mulvey, J. M.      312  
Munkres, J.      400  
Murtagh, B. A.      115  
Murty, K. G.      165  
n-dimensional space      252  
Negative cycle      362 402  
Neighbor      278  
Nemhauser, G. L.      207  
Nemirovskii, A. S.      9 451  
Network      292 369  
Network flow problem      see "Upper-bounded transshipment problems"  
Network simplex method      297—310  
Network simplex method, algebraic description      300—303  
Network simplex method, computer implementations      311—317  
Network simplex method, economic motivation      297—299  
Network simplex method, initialization      303—306  
Network simplex method, number of iterations      311  
Network, acyclic      296  
Network, auxiliary      296  
Network, connected      296  
Network, incidence matrix of      294  
Network, layered      see "Core"  
Network, working      399  
Nishizeki, T.      xiii  
Node      292  
Node numbers      306—307  
Node wet      393  
Node, balanced      393  
Node, dry      393  
Node, dummy      322  
Node, intermediate      292 369  
Node, transshipment      see "Intermediate"  
Node,depth of      313  
Node-arc matrix      see "Incidence matrix of a network"  
Nonbasic activity      104  
Nonbasic variable      20  
Nondegeneracy      see "Degeneracy"  
Nonnegativity constraints      6  
Nonsingular matrix      93  
Nonzero tolerances      see "Zero tolerances"  
Norm      218 269  
Normal basic feasible solution      134 244  
Normal distribution      220  
Null vector      see "Zero vector"  
Number of iterations in the Dantzig — Wolfe decomposition algorithm      441  
Number of iterations in the network simplex method      311 335  
Number of iterations in the primal-dual method      398 400  
Number of iterations in the simplex method      45—51  
Number of vertices of a polyhedron      272—273  
Nutrirtion problem      see "Diet problem"  
Nutritive values of foods      185—187  
o-notation      380  
Objective function      6  
Objective function, parametric      162  
Oil refinery example      10—11 69 70  
On-the-job training example      11—12 168  
Open pit problem      373  
Operation count in Gaussian elimination      73 77  
Operation count in the simplex method      112—114  
Operations on matrices      79—82 84  
Optimal certificate      61—62  
Optimal solution      7  
Optimal solution, uniqueness of      22—23  
Optimal strategy      231  
Optimal value      7  
Optimum cover problem      388  
Orchard — Hays, W.      97 105  
Orden, A.      34 291  
Order, partial      340 373  
Oresme, N.      251  
Origin      28  
Origin in a transportation problem      see "Source"  
Outgoing variables      see "Leaving variable"  
Outliers      220  
Overdetermined systems of linear equations      213—227  
Overtime production      189 323  
Packed form of sparse matrices      82 110  
Paige, C. C.      xiii  
Paper recycling example      347—350  
Paper trim problem      see "Cutting-stock problem"  
Parametric linear programming      162—166  
Partial order      340 373  
Partial pivoting      74  
Partial pricing      115  
Partitioned preassigned pivot procedure ( )      see "Hellerman — Rarick procedure"  
Path      296  
Path, alterable      375  
Path, augmenting      375  
Path, directed      391  
Path, shortest      391  
Payoff matrix      230  
Peripheral memory      113—115 406 408 410 413  
Permutation matrix      83 86—87 90—91 406—407  
Perold, A. F.      xiii 194 440 441  
Personnel training example      11—12 168  
Perturbation method      34—37 258—260 319  
Phase one, phase two      see "Two-phase simplex method"  
Phelps, K. T.      xiii  
Picard, J. C.      373  
Pivot column      24  
Pivot element      73  
Pivot row      21 24  
Pivot stem      315  
Pivoting in Gaussian elimination      74 78 89—92  
Pivoting in the network simplex method      301  
Pivoting in the simplex method      21  
Pivoting rule      51 311—312  
Pivoting strategy in Gaussian elimination      78 89—92  
Planning, decentralized      436  
Player      230  
Pointers      408  
Poker      235—237 238—239  
Polyhedron      252 331  
Polyhedron with no vertices      275—277  
Polyhedron, facets of      252  
Polyhedron, separation theorem for      267  
Polyhedron, vertices of      253 271—273 287—288 331  
Polytope      287  
Postoptimality analysis      see "Sensivity analysis"  
Prager, W.      324  
Pratt, A. W.      221  
Predecessor      312—313  
Prekopa, A.      273  
Preorder      314  
Price, shadow      67 104 437  
Pricing      114—115  
Pricing out a nonbasic activity      104  
Primal problem      56 139  
Primal-dual method      392—400  
Product form of the inverse (PFI)      xi 105 117  
Product matrix      81  
Product, scalar      269  
Production and inventory scheduling      188—193 322—323  
Proll, L. G.      282  
Pure strategy      229  
Quandt, R. E.      46  
Queyranne, M.      xii  
Rank      see "Full row rank"  
Rarick, D. C.      91  
Raws      195  
Reciprocal      94  
Recommended daily dietary allowances      182—183  
Recycled paper example      347—350  
 | Redundant inequalities      242 247  
Refactorization      111—113  
Region of feasibility      252  
Regular matrix      see "Nonsingular matrix"  
Regular-time production      189 323  
Reid's method      412—413  
Reid, J. K.      xiii 115 406  
Reinversion      see "Refactorization"  
Relationship between basic feasible solutions and vertices of polyhedra      253 274  
Relationship between game theory and linear programming      232 239  
Relationship between primal and dual problems      60—61 140  
Relationship between spanning trees and bases in a transshipment problem      296—297 319  
Renz, P.      xiii  
Representation of a tree      312—314  
Resource      104 173  
Restricted primal problem      115  
Restricted variable      119—120 138  
restrictions      see "Constrains"  
Return arc      368  
Reverse arc      300 361  
Revised simplex method      xi 97 100—102  
Rhys, J.,      373  
Right-hand side, parametric      165  
Riley, V.      9  
Robustness of an approximation      220  
Rockafellar, R. T.      269  
Roedl, V.      xiii  
Root of a tree      201 308—309 312  
Rose, D. J.      91  
Rosenberg, I.G.      xiii  
Rounding errors      74  
Row player      230  
Row rank      see "Full row rank"  
Row singletons      413  
Row vector      82  
Rubin, D. S.      282  
Ryser, H. J.      366  
Saaty, T.      163  
Samuelson, P. A.      68  
Sargent, T.      221  
Saturated arc      354  
Saunders's method      413—414  
Saunders, M. A.      xiii 406 412  
Savage, J. L.      234  
Scalar product      269  
Scaling in transshipment problems      400—401  
Scaling systems of linear equations      76—77  
Scheduling production and inventory      188—193 322 323  
Schmidt, B. K.      282  
Schrijver, A.      451  
Score vector      366  
Scrimshaw, N. S.      183  
Search breadth-first      280  
Search depth-first      314  
Seneta, E.      227  
Sensitivity analysis      148—149 158—162 176 181—182  
Separation theorem for convex sets      269  
Separation theorem for polyhedra      267  
Set bounded      270 287  
Set convex      263  
Shadow price      67 104 437  
Shannon, C. E.      371  
Sharpe, W. F.      221  
Shor, N. Z.      451  
Shortest paths algorithm      391—392 402  
simplex      452  
Simplex tableau      xi 23  
Simplified poker      235—237 238—239  
Simultaneous equations      see "System of linear equations"  
Singleton      413  
Singular matrix      93  
Sink      292 369  
Size of a problem      51  
Slab      270  
Slack variables      14  
Sleator, D. D. K.      380  
Smale, S.      46  
Smallest-subscript rule      37—38 125  
Smith, D. E.      74  
Smoothing production      188—193 322—323  
Solow, R. M.      68  
Solution, approximate      213 216—227  
Solution, basic      120  
Solution, basic feasible      19 100 120  
Solution, degenerate      30 124  
Solution, dual-feasible      157  
Solution, feasible      6  
Solution, feasible tree      296 354  
Solution, normal basic feasible      134 244  
Solution, optimal      7  
Solvability of systems of linear inequalities      143—144 146  
Source      292—369  
Space      see "n-dimensional space"  
Spanning tree      296  
Spanning tree and the basis matrix      296—297 319  
Sparse matrix      82  
Sparse system of linear equations      77  
Sparsity      xi 111—114 406 409 451—452  
Special structure      92 see  
Spectrophotometry      214—216  
Sphere      446 see  
Spike      91 413  
Staircase structure      193—194  
Standard form of linear programming problems      6  
Standard simplex method      97  
Standard simplex method vs. revised simplex method      113—114  
Steepest edge      115  
Steiger, W. L.      xiii 227  
Steinberg, D. I.      33  
Stiemke, E.      248  
Stochastic vector      230  
Stone, R. E.      451  
Storage of sparse matrices      82—83  
Strategy, dominant      237  
Strategy, mixed      231  
Strategy, optimal      231  
Strategy, pure      229  
Strict linear inequalities      43 448—451  
Strongly feasible tree      308—309 319 362  
Structural variable      see "Decision variable"  
Structure, block-angular      434—435  
Structure, block-diagonal      435  
Structure, block-triangular      412  
Structure, GUB      415  
Structure, staircase      193—194  
Struik, D. J.      74  
Strum, J. E.      18  
Subproblem in Dantzig — Wolfe decomposition      428  
Substitution of an activity      105  
Sum of matrices      84  
Suurballe, J. W.      33  
Swanson, E. R.      171 177  
Swanson, H. S.      xiii 179  
Swine      180  
Symmetric game      233  
System of distinct representatives (SDR)      336  
System of linear equations      143—146 240—249 444—454  
System of linear equations, dense      77  
System of linear equations, equilibrated      76  
System of linear equations, matrix representation of      82  
System of linear equations, overdetermined      213—227  
System of linear equations, solution of      see "Gaussian elimination"  
System of linear equations, sparse      77  
System of linear equations, well-scaled      76  
System of linear inequalities      143—146 240—249 444—454  
System of linear inequalities, characterizing solutions of      244  
System of linear inequalities, inconsistent      144  
System of linear inequalities, unsolvable      144  
Tableau format      23—25  
Tableau simplex      xi 23  
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