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1-10 of 250 Reviews about "
Optimization (G.1.6)
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Date Reviewed
Applied probability and stochastic processes
Joshua V., Varadhan S., Vishnevsky V., Springer International Publishing, New York, NY, 2020. 521 pp. Type: Book (978-9-811559-50-1)
Natural phenomena are very complicated, and statistical analysis, which is categorized in the stochastic conceptual framework, is an effective tool to formulate, estimate, and predicate their nature, behaviors, and functionalities. Stochastic proc...
May 16 2023
Linear programming: Foundations and Extensions (5th ed.)
Vanderbei R., Springer International Publishing, New York, NY, 2020. 495 pp. Type: Book (978-3-030394-14-1)
Linear programming (LP) finds the optimal solution to a mathematical problem with given resources or constraints. The optimization of resources in achieving an optimal solution employs various methods; simplex, convex analysis, degener...
Mar 16 2021
Survey on combinatorial register allocation and instruction scheduling
Lozano R., Schulte C. ACM Computing Surveys 52(3): 1-50, 2019. Type: Article
Compilers use heuristic algorithms to quickly produce inexact solutions for register assignment (assigning values to central processing unit [CPU] registers) and instruction scheduling (ordering instructions for execution)....
Jan 26 2021
RDF multi-query optimization algorithm for query rewriting using common subgraphs
Wang M., Fu H., Xu F. CSAE 2019 (Proceedings of the 3rd International Conference on Computer Science and Application Engineering, Sanya, China, Oct 22-24, 2019) 1-8, 2019. Type: Proceedings
Resource description framework (RDF) is a data representation standard for loosely structured data that can be used to represent large datasets that arise in applications such as social networks. The challenge of searching and analyzin...
Aug 17 2020
Integer linear programming in computational and systems biology: an entry-level text and course
Gusfield D., Cambridge University Press, New York, NY, 2019. 428 pp. Type: Book (978-1-108421-76-8)
Integer linear programming (ILP) is an optimization method that depends on the satisfaction of a set of linear equality or inequality relationships and has solutions with integer (rather than continuous) values. An important applicatio...
Dec 2 2019
A new bio-inspired optimization algorithm based on the self-defense mechanism of plants in nature
Caraveo C., Valdez F., Castillo O., Springer International Publishing, New York, NY, 2019. 68 pp. Type: Book (978-3-030055-50-9)
The length of a long review article, this short book describes the details of a recently developed soft computing (that is, a bio-inspired metaheuristic) algorithm, tested for numerical optimization and proven to be powerful after care...
Nov 14 2019
Fuzzy logic augmentation of neural and optimization algorithms: theoretical aspects and real applications
Castillo O., Melin P., Kacprzyk J., Springer International Publishing, New York, NY, 2018. 546 pp. Type: Book (978-3-319710-07-5)
There have been many recent developments related to fuzzy logic applications. This book, volume 749 in Springer’s “Studies in Computational Intelligence” series, contains research papers related to fuzzy l...
Jan 11 2019
First-order methods in optimization
Beck A., SIAM-Society for Industrial and Applied Mathematics, Philadelphia, PA, 2017. 494 pp. Type: Book (978-1-611974-98-0)
The author of
First-order methods in optimization
defines the book’s subject matter as optimization methods that rely on function “values and gradients/subgradients (but not Hessians).” The most fam...
Oct 31 2018
Nature-inspired algorithms and applied optimization
Yang X., Springer International Publishing, New York, NY, 2018. 330 pp. Type: Book (978-3-319676-68-5)
Optimization problems occur in engineering and other fields. They are often difficult to solve efficiently, as they are mostly computationally hard (in complexity theory parlance). One way of solving these problems is by seeking inspir...
Sep 26 2018
Ant colony algorithm for automotive safety integrity level allocation
Gheraibia Y., Djafri K., Krimou H. Applied Intelligence 48(3): 555-569, 2018. Type: Article
Any technical system can fail and cause damages to its users and other people at large; the more damages a failure can cause, the more hazardous the system is. Of course, engineers have always striven to lower failure probabilities, da...
Jun 21 2018
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