Optimization: Algorithms and Applications
β Scribed by Rajesh Kumar Arora
- Publisher
- Chapman & Hall/CRC
- Year
- 2015
- Tongue
- English
- Leaves
- 466
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
ΠΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠ°;ΠΠ΅ΡΠΎΠ΄Ρ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ;
π SIMILAR VOLUMES
<P><EM>Choose the Correct Solution Method for Your Optimization Problem</EM></P> <P><STRONG>Optimization: Algorithms and Applications</STRONG> presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs. </P> <P></P>
<p>Stochastic programming is the study of procedures for decision making under the presence of uncertainties and risks. Stochastic programming approaches have been successfully used in a number of areas such as energy and production planning, telecommunications, and transportation. Recently, the pra
<p>Researchers working with nonlinear programming often claim "the word is nonΒ linear" indicating that real applications require nonlinear modeling. The same is true for other areas such as multi-objective programming (there are always several goals in a real application), stochastic programming (a