Home
Books
Linear Programming for Optimization and Decision Making
1
Conquer math anxiety with simple, clear steps.
Build a strong foundation in essential math topics.
Apply math to real-world problems confidently.
Master algebraic concepts and problem-solving methods.
Understand geometry and its practical applications.
Gain financial math skills for everyday use.
Average Rating out of 5:
Price Range: $19.99
2
Overcome anxiety and panic attacks effectively. Three proven techniques for emotional relief. Personalized journey towards inner peace. Active participation required for real change. Suitable for all ages and backgrounds. Use practical tools for lasting results.
Average Rating out of 5:
Price Range: $3.99
3
Comprehensive guide to linear optimization concepts.
Includes classical and modern optimization methods.
Explores network flow and discrete optimization techniques.
Integrates theory with practical applications effectively.
Suitable for beginners and advanced learners alike.
Part of the renowned Athena Scientific Series.
Enhances problem-solving skills in scientific computation.
Average Rating out of 5:
Price Range: $88.85
4
Comprehensive overview of continuous optimization methods.
Updated chapters on nonlinear and derivative-free methods.
Focus on practical applications in various fields.
Accessible for graduate students and practitioners.
Includes extensive illustrations and exercises.
Enjoyable and rigorous writing style.
Instructor's solutions manual available for new edition.
Average Rating out of 5:
Price Range: $54.99
5
Large 8.5 x 11 inch size
100 quad ruled pages for versatile use
Soft matte cover for durability and style
Perfect for elementary school math and drawing
Light grey 1/2 inch squares for easy organization
Non-perforated pages prevent accidental tearing
Ideal for journals, diaries, and compositions
Average Rating out of 5:
Price Range: $5.49
6
Enriches understanding of linear algebra concepts.
Accessible for beginners and advanced students alike.
Features seventy-three curated articles for exploration.
Includes over 120 categorized problems for practice.
Contributions from experts and experienced educators.
Supports improved undergraduate linear algebra education.
Encourages enjoyment of mathematics for all readers.
Average Rating out of 5:
Price Range: $78.54
7
Comprehensive workbook on linear optimization techniques.
Focuses on Simplex Algorithm for problem-solving.
Ideal for undergraduate mathematics students.
Clarifies misconceptions about linear programming terminology.
Explores mathematics behind optimizing linear functions.
Historical context of the term 'programming' explained.
Engaging exercises to enhance understanding of concepts.
Average Rating out of 5:
Price Range: $89.99
8
Comprehensive guide to continuous optimization methods.
Focus on practical applications in various fields.
Thoroughly updated with new chapters and techniques.
Covers nonlinear interior methods and derivative-free methods.
Accessible for graduate students and practitioners alike.
Includes illustrations and exercises for better understanding.
Selected solutions manual available for instructors.
Average Rating out of 5:
Price Range: $62.31
9
Comprehensive revision of leading dynamic programming textbook.
Focused on approximate dynamic programming advancements.
Includes new material and reorganized Chapter 6.
Emphasis on lookahead methods and neural networks.
Features numerous examples and educational resources available.
Developed from graduate courses at M.I.T.
Supports learning through online solutions and videos.
Average Rating out of 5:
Price Range: $89.00
10
Comprehensive guide to linear programming methods.
Includes network flows and modeling concepts.
Updated with latest developments and techniques.
Emphasizes algorithms and implementation strategies.
Supports various fields like engineering and computer science.
Features examples with detailed mathematical analysis.
Ideal for undergraduate and graduate courses.
Average Rating out of 5:
Price Range: $87.64
11
Focuses on global optimization in engineering design.
Covers nonconvex optimization and its real-world applications.
Addresses complex nonlinear optimization problems effectively.
Presents deterministic techniques for finding global optima.
Highlights advancements in mathematical programming research.
Emphasizes chemical engineering applications and case studies.
Integrates modern computational tools for optimization solutions.
Price Range: $133.01
12
Covers major developments in stochastic global optimization.
Discusses global random search methodologies and algorithms.
Focuses on probabilistic assumptions for objective functions.
Mathematically precise while simplifying complex details.
Emphasizes continuous finite-dimensional optimization problems.
Highlights recent advancements in the optimization field.
Less focus on extensively documented topics like genetic algorithms.
Price Range: $79.76
13
Comprehensive overview of nonlinear parameter optimization.
Detailed formulation of optimization problems discussed.
Explores established methods for nonlinear least squares.
Introduces a novel approach to optimization problems.
Addresses starting point selection challenges effectively.
Real-world applications of the new optimization method.
Enhances understanding of nonlinear least squares solutions.
Price Range: $33.33
14
Introductory textbook on linear programming fundamentals.
Focused on computer science and mathematics students.
Concise approach for understanding core concepts.
Includes complete proofs and detailed main results.
Applications in both theory and practical scenarios.
Glossary for additional topics and brief explanations.
Captivates readers with exciting examples and applications.
Average Rating out of 5:
Price Range: $66.93
15
Comprehensive introduction to convex optimization techniques.
Solves problems efficiently across various fields.
Focus on recognizing convex optimization challenges.
Includes numerous worked examples for clarity.
Features homework exercises for practical learning.
Suitable for students and professionals alike.
Applicable in engineering, finance, and computer science.
Average Rating out of 5:
Price Range: $108.99
16
Practical guide to discrete mathematics principles.
Explore algorithms for computer science and machine learning.
Hands-on examples using modern Python libraries.
Understand complex statistical and mathematical concepts.
Learn to solve real-world software development problems.
Master methods for analyzing data and patterns.
Ideal for computer scientists and university students.
Average Rating out of 5:
Price Range: $57.96
17
Step-by-step solutions for clear understanding.
Organized by chapters for easy navigation.
Enhances skills in logic and mathematics.
Practical examples for real-world applications.
Includes tips to avoid common mistakes.
Perfect for students and educators alike.
Boost your confidence in solving challenges.
Price Range: $9.00
18
Updated Second Edition of a popular classic.
Focus on response variable and explanatory variables.
Includes advanced topics like likelihood methods.
Self-contained with clear, rich content.
Suitable for various research disciplines.
Features worked examples and exercises.
Ideal for text, self-study, and references.
Average Rating out of 5:
Price Range: $111.15
19
In-depth model building principles in programming.
Applies practical problems from diverse contexts.
Includes suggested formulations and solutions.
Highlights computational difficulty of model solving.
Explains scope and limitations of mathematical programming.
Focuses on model interpretation, not just solutions.
Updated insights from H.P. Williams' experiences.
Average Rating out of 5:
Price Range: $54.63
20
Comprehensive guide to online convex optimization.
Updated second edition with new chapters and content.
Focus on learning from experience in optimization.
Includes practical applications like recommendation systems.
Exercises to enhance understanding and proof skills.
Based on Princeton University's theoretical machine learning course.
Combines optimization, game theory, and learning theory.
Average Rating out of 5:
Price Range: $50.21
21
Introductory textbook on uncertainty theory concepts.
Explores belief degrees without probability distribution samples.
Covers uncertain programming and statistics applications.
Detailed analysis of uncertain risk and reliability.
Applications in scheduling, logistics, and finance.
Foundation for axiomatic mathematics in uncertainty modeling.
Comprehensive resource for researchers and practitioners.
Price Range: $109.99
22
Comprehensive introduction to optimization theory and methods.
Emphasizes engineering design with practical applications.
Includes MATLAB ® exercises for hands-on learning.
Updated with modern developments and expanded topics.
Covers linear programming and nonlinear optimization methods.
Ideal for undergraduate and graduate courses.
Beneficial for researchers and professionals across fields.
Average Rating out of 5:
Price Range: $98.90
23
Explores advanced optimization techniques in economics.
Incorporates topological and differential methods for analysis.
Enhances understanding of microeconomic theory applications.
Makes complex concepts accessible for graduate students.
Focuses on geometric concepts in mathematical economics.
Discusses general equilibrium and social choice theories.
Ideal for students pursuing economic theory and research.
Average Rating out of 5:
Price Range: $54.99
24
Perfect for math, science, and drawing needs.
120 pages of high-quality white graph paper.
Size: 8.5 x 11 inches (21.59cm x 27.94cm).
1/2 inch squares for precise calculations.
Thick solid lines enhance visibility and accuracy.
Minimal ink bleed-through for clean writing.
Soft matte cover for a comfortable grip.
Average Rating out of 5:
Price Range: $5.89
25
Comprehensive coverage of linear programming techniques.
Theoretical and computational concepts clearly explained.
Includes simplex and revised simplex methods.
Covers duality problems and sensitivity analysis.
Practical applications in transportation and nonlinear programming.
Numerical examples and exercises in every chapter.
Suitable for students and professionals alike.
Average Rating out of 5:
Price Range: $14.84
26
Concise treatment of convex sets and functions.
Accessible proofs enhance understanding of convexity.
Focus on geometrical analysis of duality.
Applications in constrained optimization problems.
Supports theoretical courses and supplemental learning.
Ideal for nonlinear programming classes.
Companion to other works by Dimitri Bertsekas.
Average Rating out of 5:
Price Range: $59.00
27
Comprehensive guide for nonlinear systems analysis.
Ideal for graduate-level coursework and self-study.
Structured into four detailed parts for clarity.
Covers basic analysis and feedback systems extensively.
Focuses on advanced analysis and control techniques.
Written by expert Hassan Khalil for deep understanding.
Suitable for engineers and applied mathematicians alike.
Average Rating out of 5:
Price Range: $262.56
28
Ideal for junior/senior-level engineering courses.
Focuses on systems analysis and economics in engineering.
Enhanced learning with reorganization and new material.
Emphasizes network flow problems effectively.
Wide range of examples and exercises provided.
Practical approach to civil and environmental systems.
Modern skills for design and evaluation processes.
Average Rating out of 5:
Price Range: $233.87
29
Major revision of leading dynamic programming textbook.
Increased length by over 60% from previous edition.
Focus on approximate dynamic programming techniques.
Includes new research and simulation-based methods.
Extensive examples and detailed solutions provided online.
Supported by educational materials on MIT OpenCourseWare.
Average Rating out of 5:
Price Range: $89.00
