Search Results - function-((james programming) OR (linear programming))

Fundamentals of Object Tracking. by Challa, Subhash

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Linear programming and resource allocation modeling by Panik, Michael J.

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Introduction to Mathematical Optimization : From Linear Programming to Metaheuristics. by Yang, Xin-She

Table of Contents: “…s Method""; ""5.3.2 Steepest Descent Method""; ""5.4 Hooke-Jeeves Pattern Search""; ""6. Linear Mathematical Programming""; ""6.1 Linear Programming""; ""6.2 Simplex Method""…”
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Optimizations and programming : linear, nonlinear, dynamic, stochastic and applications with Matlab by El Hami, Abdelkhalak

Table of Contents: “…Programmation. Linear Programming -- Integer Programming -- Dynamic Programming -- Stochastic Programming -- Optimization. …”
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Functionalism and world politics : a study based on United Nations programs financing economic development. by Sewell, James Patrick

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Hurricane climatology : a modern statistical guide using R by Elsner, James B., Jagger, Thomas H.

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Arduino sketches : tools and techniques for programming wizardry by Langbridge, James A.

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Mastering predictive analytics with R : machine learning techniques for advanced models by Miller, James D.

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Python : an Introduction to Programming. by Parker, James R.

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Quantum Monte-Carlo Programming : For Atoms, Molecules, Clusters, and Solids. by Schattke, Wolfgang

Table of Contents: “…6.3.5 Cluster Size -- 7 Infinite Number of Electrons: Lithium Solid -- 7.1 Infinite Lattice -- 7.1.1 The Lattices -- 7.1.2 Structure of the Electrostatic Potential -- 7.1.3 Ewald Summation and Tabulation -- 7.1.4 Finite-Size Effects -- 7.2 Wave Function -- 7.2.1 Linear Combination of Atomic Orbitals -- 7.2.2 Plane Waves -- 7.3 Jastrow Factor -- 7.3.1 Standard Choice -- 7.3.2 Principal Ideas and Extensions -- 7.4 Results for the 333 and 444 Superlattice Solid -- 8 Diffusion Quantum Monte Carlo (DQMC) -- 8.1 Towards a First DQMC Program -- 8.1.1 Relating Schrödinger Equation to Diffusion…”
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Assessing research-doctorate programs : a methodology study

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Proceedings of the Princeton Symposium on Mathematical Programming. by Kuhn, Harold William

Table of Contents: “…TWO METHODS OF DECOMPOSITION FOR LINEAR PROGRAMMING /…”
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Linear Algebra Problem Book by Halmos, Paul R.

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SBIR program diversity and assessment challenges : report of a symposium

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Mathematical Programming : Theory and Methods. by Sinha, S. M.

Table of Contents: “…Introduction; 1.1 Background and Historical Sketch; 1.2. Linear Programming; 1.3. Illustrative Examples; 1.4. …”
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Nonlinear Programming : Proceedings of a Symposium Conducted by the Mathematics Research Center, the University of Wisconsin, Madison, May 4-6, 1970

Table of Contents: “…A Second Order Method for the Linearly ConstrainedNonlinear Programming Problem; ABSTRACT; 1. …”
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Scientific programming : numeric, symbolic, and graphical computing with maxima by Calvo, Jorge Alberto

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DSP with Python Programming. by Charbit, Maurice

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Elementary Number Theory with Programming. by Lewinter, Marty

Table of Contents: “…Intro -- Title Page -- Copyright Page -- Contents -- Preface -- Words -- Notation in Mathematical Writing and in Programming -- Chapter 1 Special Numbers -- Triangular Numbers -- Oblong Numbers and Squares -- Deficient, Abundant, and Perfect Numbers -- Exercises -- Chapter 2 Fibonacci Sequence, Primes, and the Pell Equation -- Prime Numbers and Proof by Contradiction -- Proof by Construction -- Sums of Two Squares -- Building a Proof on Prior Assertions -- Sigma Notation -- Some Sums -- Finding Arithmetic Functions -- Fibonacci Numbers -- An Infinite Product -- The Pell Equation…”
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Model Building in Mathematical Programming. by Williams, H. Paul

Table of Contents: “…Intro -- Title Page -- Copyright -- Dedication -- Preface -- Preface to the Fifth Edition -- Part I -- Chapter 1: Introduction -- 1.1 The concept of a model -- 1.2 Mathematical programming models -- Chapter 2: Solving mathematical programming models -- 2.1 Algorithms and packages -- 2.2 Practical considerations -- 2.3 Decision support and expert systems -- 2.4 Constraint programming (CP) -- Chapter 3: Building linear programming models -- 3.1 The importance of linearity -- 3.2 Defining objectives -- 3.3 Defining constraints -- 3.4 How to build a good model…”
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