http://hdl.handle.net/123456789/91 2026-10-31T09:38:23Z 2026-10-31T09:38:23Z Toshev, Martin http://hdl.handle.net/123456789/2365 2026-10-31T09:33:58Z 2015-12-01T00:00:00Z

Title: Learning RabbitMQ Authors: Toshev, Martin

2015-12-01T00:00:00Z Jeet, Dr. Param http://hdl.handle.net/123456789/2364 2026-10-31T09:28:05Z 2017-03-01T00:00:00Z

Title: Learning Quantitative Finance with R Authors: Jeet, Dr. Param

2017-03-01T00:00:00Z Graser, Anita http://hdl.handle.net/123456789/2363 2026-10-31T09:19:11Z 2016-03-01T00:00:00Z

Title: Learning QGIS Third Edition Authors: Graser, Anita

2016-03-01T00:00:00Z Rao, Singiresu S. http://hdl.handle.net/123456789/2362 2026-10-31T09:31:49Z 2009-01-01T00:00:00Z

Title: Engineering Optimization : Theory and Practice Authors: Rao, Singiresu S. Abstract: The ever-increasing demand on engineers to lower production costs to withstand global competition has prompted engineers to look for rigorous methods of decision mak- ing, such as optimization methods, to design and produce products and systems both economically and efficiently. Optimization techniques, having reached a degree of maturity in recent years, are being used in a wide spectrum of industries, including aerospace, automotive, chemical, electrical, construction, and manufacturing industries. With rapidly advancing computer technology, computers are becoming more powerful, and correspondingly, the size and the complexity of the problems that can be solved using optimization techniques are also increasing. Optimization methods, coupled with modern tools of computer-aided design, are also being used to enhance the creative process of conceptual and detailed design of engineering systems.

2009-01-01T00:00:00Z