Building envelope parameters and geometric configurations can considerably influence the
building energy performance. However, determining the best trade-offs of different building …

Stochastic optimization is an umbrella term that includes over a dozen fragmented
communities, using a patchwork of sometimes overlap** notational systems with …

What is reinforcement learning? How is reinforcement learning different from stochastic
optimization? And finally, can it be used for applications to quantitative finance for my current …

A complete and accessible introduction to the real-world applications of approximate
dynamic programming With the growing levels of sophistication in modern-day operations, it …

Most decision problems involve more than one uncertain quantity. he one-variable methods
of probability elicitation outlined above can be applied validly to several variables only if the …

The objective of this paper is to review the state‐of‐the‐art of mathematical models
developed for reservoir operations, including simulation. Algorithms and methods surveyed …

Research aimed at correcting words in text has focused on three progressively more difficult
problems:(1) nonword error detection;(2) isolated-word error correction; and (3) context …

Production and Operations Analysis Page 1 Production and Operations Analysis Sixth Edition
Steven Nahmias Santa Clara University Me Graw Hill Boston Burr Ridge, IL Dubuque, IA …

A Complete Reference Covering the Latest Technology in Metal Cutting Tools, Processes,
and Equipment Metal Cutting Theory and Practice, Third Edition shapes the future of …

An excellent financial research tool, this classic focuses on the methods of solving
continuous time problems. The two-part treatment covers closely related approaches to the …