Stochastic programming
Peter Kall
Reading Time
at 250 WPM5h 7m
The average reader, reading at a speed of 250 WPM, would take 5h 7m to read Stochastic programming.
Personalise your estimate by entering your reading speed below
Test my reading speedEnter speed in words per minute
11
days at 30 min/day
307
total minutes
Stochastic programming
by Peter Kall
Published
1994
Publisher
Wiley
Pages
307
ISBN-10
0471951080
Description
'Stochastic Programming' is the first textbook to provide a thorough and self-contained introduction to the subject. Carefully written to cover all necessary background material from both linear and non-linear programming, as well as probability theory, the book draws together the methods and techniques previously described in disparate sources. After introducing the terms and modelling issues when randomness is introduced in a deterministic mathematical programming model, the authors cover decision trees and dynamic programming, recourse problems, probabilistic constraints, preprocessing and network problems. Exercises are provided at the end of each chapter. Throughout, the emphasis is on the appropriate use of the techniques, rather than on the underlying mathematical proofs and theories, making the book ideal for researchers and students in mathematical programming and operations research who wish to develop their skills in stochastic programming.
Stochastic models in operations research
Lectures on Stochastic Programming
Numerical techniques for stochastic optimization
Introduction to Stochastic Dynamic Programming
Stochastic programming 84
Stochastic programming
Frequently Asked Questions
How many pages are in Stochastic programming?
This edition of Stochastic programming has approximately 307 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Stochastic programming?
For most readers, Stochastic programming typically takes between 6h 24m and 4h 16m to complete. This is based on the book's length of approximately 76,750 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 7m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 11 days • Estimated word count: 76,750 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Stochastic programming?
The estimated word count for Stochastic programming is approximately 76,750 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Stochastic programming?
Stochastic programming was written by Peter Kall.
When was Stochastic programming published?
The publication date for this specific edition is 1994. The original work may have been published on a different date.