Advances in fields such as bioengineering, industrial engineering, and robotic design now require engineers to have a sound background in statistical methods to optimize performance and minimize error in problem-solving applications. By joining statistical analysis with computer-based numerical meth
Computer-Based Numerical & Statistical Techniques (Mathematics)
โ Scribed by Manish Goyal
- Publisher
- Jones & Bartlett Publishers
- Year
- 2007
- Tongue
- English
- Leaves
- 766
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Salient features of this work include: mathematical derivation of each method is given to build the students understanding of numerical analysis; a variety of solved examples are given; computer programs for almost all numerical methods discussed have been presented in 'C' language; error analysis f
Salient features of this work include: mathematical derivation of each method is given to build the students understanding of numerical analysis; a variety of solved examples are given; computer programs for almost all numerical methods discussed have been presented in 'C' language; error analysis f
Pick up any hydrology textbook and it will not be long before you encounter pages listing sequences of equations representing complex mathematical concepts. Students and practitioners of hydrology will not find this very helpful, as their aim, generally, is to study and understand hydrology, and not
Statistics and computing share many close relationships. Computing now permeates every aspect of statistics, from pure description to the development of statistical theory. At the same time, the computational methods used in statistical work span much of computer science. Elements of Statistical Com