Optimal Resource Allocation: With Practical Statistical Applications and Theory

Optimal Resource Allocation: With Practi

📁 Optimal Resource Allocation: With Practical Statistical Applications and Theory

✍ Igor A. Ushakov 📂 Library 📅 2013 🏛 Wiley 🌐 English

A UNIQUE ENGINEERING AND STATISTICAL APPROACH TO OPTIMAL RESOURCE ALLOCATIONOptimal Resource Allocation: With Practical Statistical Applications and Theory features the application of probabilistic and statistical methods used in reliability engineering during the different phases o

Interplant Resource Integration: Optimiz

📁 Interplant Resource Integration: Optimization and Allocation

✍ Chuei-Tin Chang, Cheng-Liang Chen, Jui-Yuan Lee 📂 Library 📅 2021 🏛 CRC Press 🌐 English

Interplant Resource Integration: Optimization and Allocation presents an introduction to the planning and implementation methods for interplant resource integration. The analytic tools provided in this book can be used for the tasks of formulating mathematical programming model(s) to maximize the

Interplant Resource Integration: Optimiz

📁 Interplant Resource Integration: Optimization and Allocation

✍ Chuei-Tin Chang, Cheng-Liang Chen, Jui-Yuan Lee 📂 Library 📅 2021 🏛 CRC Press 🌐 English

Interplant Resource Integration: Optimization and Allocation presents an introduction to the planning and implementation methods for interplant resource integration. The analytic tools provided in this book can be used for the tasks of formulating mathematical programming model(s) to maximize the

Optimized cloud resource management and

📁 Optimized cloud resource management and scheduling : theory and practice

✍ Wenhong Tian 📂 Library 📅 2015 🏛 Morgan Kaufmann, , Elsevier Inc 🌐 English

Optimized Cloud Resource Management and Scheduling identifies research directions and technologies that will facilitate efficient management and scheduling of computing resources in cloud data centers supporting scientific, industrial, business, and consumer applications. It serves as a va

Statistical Optimization for Geometric C

📁 Statistical Optimization for Geometric Computation: Theory and Practice

✍ Kenichi Kanatani 📂 Library 📅 1996 🏛 Elsevier Science Ltd 🌐 English

This book discusses mathematical foundations of statistical inference for building a 3-D model of the environment from image and sensor data that contain noise - a central task for autonomous robots guided by video cameras and sensors. A theoretical accuracy bound is derived for the optimization pro

Statistical Optimization for Geometric C

📁 Statistical Optimization for Geometric Computation: Theory and Practice

✍ Kenichi Kanatani 📂 Library 📅 2005 🏛 Dover Publications 🌐 English

This text discusses the mathematical foundations of statistical inference for building 3-dimensional models from image and sensor data that contain noise - a task involving autonomous robots guided by video cameras and sensors. The text employs a theoretical accuracy for the optimization procedure,