工程优化 - 应用、方法与分析 Engineering Optimization - Applications, Methods And Analysis 英文原版
作者: Rhinehart, R. Russell
出版社: Wiley-Asme Press Series (2018年05月29日)
页数: 776页
ISBN: 9781118936337
条形码: 9781118936337
商品重量: 1.62g
商品尺寸: 23.88cm * 19.05cm * 4.57cm
内容简介
An Application-Oriented Introduction to Essential Optimization Concepts and Best Practices
Optimization is an inherent human tendency that gained new life after the advent of calculus; now, as the world grows increasingly reliant on complex systems, optimization has become both more important and more challenging than ever before. Engineering Optimization provides a practically-focused introduction to modern engineering optimization best practices, covering fundamental analytical and numerical techniques throughout each stage of the optimization process.
Although essential algorithms are explained in detail, the focus lies more in the human function: how to create an appropriate objective function, choose decision variables, identify and incorporate constraints, define convergence, and other critical issues that define the success or failure of an optimization project.
Examples, exercises, and homework throughout reinforce the author's "do, not study" approach to learning, underscoring the application-oriented discussion that provides a deep, generic understanding of the optimization process that can be applied to any field.
Providing excellent reference for students or professionals, Engineering Optimization
- Describes and develops a variety of algorithms, including gradient based (such as Newton's, and Levenberg-Marquardt), direct search (such as Hooke-Jeeves, Leapfrogging, and Particle Swarm), along with surrogate functions for surface characterization
- Provides guidance on optimizer choice by application, and explains how to determine appropriate optimizer parameter values
- Details current best practices for critical stages of specifying an optimization procedure, including decision variables, defining constraints, and relationship modeling
- Provides access to software and Visual Basic macros for Excel on the companion website, along with solutions to examples presented in the book
Clear explanations, explicit equation derivations, and practical examples make this book ideal for use as part of a class or self-study, assuming a basic understanding of statistics, calculus, computer programming, and engineering models. Anyone seeking best practices for "making the best choices" will find value in this introductory resource.
内容推荐
An Application-Oriented Introduction to Essential Optimization Concepts and Best Practices
Optimization is an inherent human tendency that gained new life after the advent of calculus; now, as the world grows increasingly reliant on complex systems, optimization has become both more important and more challenging than ever before. Engineering Optimization provides a practically-focused introduction to modern engineering optimization best practices, covering fundamental analytical and numerical techniques throughout each stage of the optimization process.
Although essential algorithms are explained in detail, the focus lies more in the human function: how to create an appropriate objective function, choose decision variables, identify and incorporate constraints, define convergence, and other critical issues that define the success or failure of an optimization project.
Examples, exercises, and homework throughout reinforce the author's do, not study approach to learning, underscoring the application-oriented discussion that provides a deep, generic understanding of the optimization process that can be applied to any field.
Providing excellent reference for students or professionals, Engineering Optimization
- Describes and develops a variety of algorithms, including gradient based (such as Newton's, and Levenberg-Marquardt), direct search (such as Hooke-Jeeves, Leapfrogging, and Particle Swarm), along with surrogate functions for surface characterization
- Provides guidance on optimizer choice by application, and explains how to determine appropriate optimizer parameter values
- Details current best practices for critical stages of specifying an optimization procedure, including decision variables, defining constraints, and relationship modeling
- Provides access to software and Visual Basic macros for Excel on the companion website, along with solutions to examples presented in the book
Clear explanations, explicit equation derivations, and practical examples make this book ideal for use as part of a class or self-study, assuming a basic understanding of statistics, calculus, computer programming, and engineering models. Anyone seeking best practices for making the best choices will find value in this introductory resource.
作者简介
R. Russell Rhinehart is an Emeritus Professor and Amoco Chair in the School of Chemical Engineering at Oklahoma State University. He was named as one of InTECH's 50 Most Influential Industry Innovators in 2004, and was inducted into the Automation Hall of Fame for the Process Industries in 2005. His research focuses on process improvement through modeling, optimization and control, and product improvement through modeling and design.
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作者: Rhinehart, R. Russell
出版社: Wiley-Asme Press Series (2018年05月29日)
页数: 776页
ISBN: 9781118936337
条形码: 9781118936337
商品重量: 1.62g
商品尺寸: 23.88cm * 19.05cm * 4.57cm
内容简介
An Application-Oriented Introduction to Essential Optimization Concepts and Best Practices
Optimization is an inherent human tendency that gained new life after the advent of calculus; now, as the world grows increasingly reliant on complex systems, optimization has become both more important and more challenging than ever before. Engineering Optimization provides a practically-focused introduction to modern engineering optimization best practices, covering fundamental analytical and numerical techniques throughout each stage of the optimization process.
Although essential algorithms are explained in detail, the focus lies more in the human function: how to create an appropriate objective function, choose decision variables, identify and incorporate constraints, define convergence, and other critical issues that define the success or failure of an optimization project.
Examples, exercises, and homework throughout reinforce the author's "do, not study" approach to learning, underscoring the application-oriented discussion that provides a deep, generic understanding of the optimization process that can be applied to any field.
Providing excellent reference for students or professionals, Engineering Optimization
- Describes and develops a variety of algorithms, including gradient based (such as Newton's, and Levenberg-Marquardt), direct search (such as Hooke-Jeeves, Leapfrogging, and Particle Swarm), along with surrogate functions for surface characterization
- Provides guidance on optimizer choice by application, and explains how to determine appropriate optimizer parameter values
- Details current best practices for critical stages of specifying an optimization procedure, including decision variables, defining constraints, and relationship modeling
- Provides access to software and Visual Basic macros for Excel on the companion website, along with solutions to examples presented in the book
Clear explanations, explicit equation derivations, and practical examples make this book ideal for use as part of a class or self-study, assuming a basic understanding of statistics, calculus, computer programming, and engineering models. Anyone seeking best practices for "making the best choices" will find value in this introductory resource.
内容推荐
An Application-Oriented Introduction to Essential Optimization Concepts and Best Practices
Optimization is an inherent human tendency that gained new life after the advent of calculus; now, as the world grows increasingly reliant on complex systems, optimization has become both more important and more challenging than ever before. Engineering Optimization provides a practically-focused introduction to modern engineering optimization best practices, covering fundamental analytical and numerical techniques throughout each stage of the optimization process.
Although essential algorithms are explained in detail, the focus lies more in the human function: how to create an appropriate objective function, choose decision variables, identify and incorporate constraints, define convergence, and other critical issues that define the success or failure of an optimization project.
Examples, exercises, and homework throughout reinforce the author's do, not study approach to learning, underscoring the application-oriented discussion that provides a deep, generic understanding of the optimization process that can be applied to any field.
Providing excellent reference for students or professionals, Engineering Optimization
- Describes and develops a variety of algorithms, including gradient based (such as Newton's, and Levenberg-Marquardt), direct search (such as Hooke-Jeeves, Leapfrogging, and Particle Swarm), along with surrogate functions for surface characterization
- Provides guidance on optimizer choice by application, and explains how to determine appropriate optimizer parameter values
- Details current best practices for critical stages of specifying an optimization procedure, including decision variables, defining constraints, and relationship modeling
- Provides access to software and Visual Basic macros for Excel on the companion website, along with solutions to examples presented in the book
Clear explanations, explicit equation derivations, and practical examples make this book ideal for use as part of a class or self-study, assuming a basic understanding of statistics, calculus, computer programming, and engineering models. Anyone seeking best practices for making the best choices will find value in this introductory resource.
作者简介
R. Russell Rhinehart is an Emeritus Professor and Amoco Chair in the School of Chemical Engineering at Oklahoma State University. He was named as one of InTECH's 50 Most Influential Industry Innovators in 2004, and was inducted into the Automation Hall of Fame for the Process Industries in 2005. His research focuses on process improvement through modeling, optimization and control, and product improvement through modeling and design.
Shipping Overview:
• Shipping: Standard Domestic Shipping within the United States charges first item USD 6.99 and additional item USD 3.0 each. Standard International Shipping from United Kingdom, Germany, Italian and Japan to the United States charges first item USD 11.99 and additional item USD 4.0 each.
• Import Duty: Everymarket collects applicable duties and taxes on goods imported into the U.S. at checkout, it's calculated based on the goods value multiply by the rate. For United Kingdom and China goods is 10%, Germany, Italian and Japan goods is 15%. We are committed to making your U.S. shopping experience simple and transparent. The method of delivery—either Delivered Duty Paid (DDP) or Delivered Duty Unpaid (DDU)—depends on whether duties and taxes are collected at the time of your purchase.
• Order Processing: Please allow 1-2 business days for order processing and preparation before shipment.
• Domestic Shipping: Orders within the U.S. are shipped via USPS or FedEx, depending on the origin of the product. Average transit times to the United States is 3 - 7 Business days and average transit times to International is 7 - 14 Business days
• International Shipping: Currently, we only ship within the USA.
• Tracking Information: Every order is trackable. You will receive a tracking number once your order has been shipped. Products may be shipped from various global fulfillment centers.
Shipping Delays:
Please note that shipping times may vary due to factors beyond our control, such as weather conditions, natural disasters, or peak holiday periods. While we strive to ensure timely delivery, the exact arrival time cannot be guaranteed and is managed by the shipping carrier.
Shipping Options:
-
Standard Delivery: Most orders are shipped within 3-7 business days. Larger items may utilize LTL shipping for safe handling.
-
Handling Time: We handle shipments on business days (Monday - Friday), with a preparation time of 1-2 days.
-
Additional Charges: Some items require additional shipping charges due to their size, weight, or special handling. These charges are specified on the product pages and are not eligible for shipping discounts.
-
Exclusions: Gift cards, packaging, taxes, and prior purchases do not count toward the minimum purchase requirement for free shipping. This offer is valid only for shipments to U.S. addresses, including Puerto Rico.
Delivery Details:
-
Estimates: Standard shipping within the US typically takes 3-7 business days. These are estimates and not guarantees.
-
Shipping Restrictions: We ship to all 50 states, Washington, DC, U.S. territories, and APO/FPO/DPO addresses. Shipping options vary based on the delivery address.
-
Remote Areas: Shipments to remote areas may incur additional charges or require pickup from a nearby shipping partner’s location.
Shipping Confirmation:
You will receive a shipping confirmation email with a tracking number as soon as your order is dispatched. If you do not receive this email immediately, please be assured that your items will arrive within the estimated delivery window provided at checkout.
Order Modifications:
If you need to cancel or modify your order, please contact our customer support immediately.
Issues with Delivery:
If your order shows as delivered but you have not received it, please contact the shipping carrier directly to resolve the issue. For persistent problems, contact our customer service at cs@everymarket.com.
Customer Support:
Our team is available 24/7 to assist you with any questions or concerns regarding your order. We are committed to ensuring a smooth shopping experience.
Return & Refund Policy Overview
Please review our return and refund policies below to ensure a smooth transaction process.
Return Policy
-
Duration: You have 30 days from receiving your item to initiate a return.
-
Condition: Items must be unworn, unwashed, with original tags and packaging intact.
-
Shipping Costs:
- If your return is approved due to a defective, damaged, or incorrect item, we will provide a prepaid return shipping label at no cost.
- If the item has no quality issues and matches the product listing and description, please contact our Customer Service team before returning it. Once your return is authorized, you must return the item according to the provided instructions. In this case, the return shipping cost is the customer's responsibility.
- We are not responsible for return shipping costs for items returned without prior authorization. -
Packaging: Ensure returned items are well-packaged to avoid damage during transit.
-
Tracking: Use a trackable and insured shipping method as we are not liable for items lost or damaged on return.
-
Initiating a Return: Contact us at cs@everymarket.com to start your return. We will provide a return shipping label and instructions upon approval. Returns without prior approval will not be accepted.
How to Return
-
Method: Returns must be sent back by mail to the address provided in the return instructions.
Return Label
-
Please contact us to get return labels.
Product Conditions for Return
-
Eligible Products: Returns are only accepted for items in new condition.
Nonreturnable Items
Certain items are not eligible for return:
-
Electronic devices after 30 days (e.g., computers, laptops, Kindles)
-
Gift cards, prepaid game cards
-
Perishable goods, live insects, some jewelry, some health and personal care items
-
Customized or personalized products
-
Items with special shipping restrictions
Refund Policy
-
Window: Eligible products may be returned within 30 days of delivery for a refund.
-
Refund Method: Refunds are processed to the original payment method or as store credit for items purchased with gift cards.
-
Processing Time: Refunds are processed within 3-5 business days after we receive the return; please allow additional time for shipping and bank processing.
Claims
Inspect your order upon arrival and report any defects, damages, or incorrect items immediately to allow us to address the issue. For claims, contact our support team with details of the issue.
Exchange Policy
For the quickest service, return your original item and place a new order for the desired product once your return is accepted.
Return Address
EveryMarket Customer Service 2101 E Terra Ln, O'Fallon, MO 63366
Customer Support
Available 24/7 for any questions or assistance needed:
-
Phone: +1 (800) 660-3783
-
Email: cs@everymarket.com
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