SOLIDWORKS 2017 and Engineering Graphics: An Integrated Approach combines an introduction to SOLIDWORKS 2017 with a comprehensive coverage of engineering graphics principles. This text takes...
The SOLIDWORKS 2018 Reference Guide is a comprehensive reference book written to assist the beginner to intermediate user of SOLIDWORKS 2018. SOLIDWORKS is an immense...
SOLIDWORKS 2019 Advanced Techniques picks up where SOLIDWORKS Intermediate Skills leaves off. Its aim is to take you from an intermediate user with a basic...
SOLIDWORKS Basic Tools is the first book in a three part series. It introduces new users to the SOLIDWORKS interface, SOLIDWORKS tools and basic modeling...
Comprising one volume ofFunctional and Modified Polymeric Materials, TwoVolume Set, this wellorganized collection of papers by Professor Eli Ruckenstein and coworkers focuses on functional and...
Written by an engineer and sharply focused on practical matters, this text explores the application of Lie groups to solving ordinary differential equations (ODEs). Although...
A complete and uptodate presentation of the fundamental theoretical principles and many applications of solvent extraction, this enhanced Solvent Extraction Principles and Practice, Second Edition...
This book compiles information relevant to understanding soybean production processes and condenses it into a single volume. The authors identify production practices and bring together...
This book provides uptodate knowledge of space debris and valuable insights on how to grapple with this issue from legal, technical, economical and societal aspects....
Volume 1, 167 pp., hardcover, ex library, else text clean & binding tight. *Buyer is responsible for any additional duties, taxes, or fees required by...
Investigations in space have been conducted in both manned and unmanned space vehicles. Space: Technologies, Materials and Structures explains the development of hardware and instrumentation...
Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is...
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SOLIDWORKS 2017 and Engineering Graphics: An Integrated Approach combines an introduction to SOLIDWORKS 2017 with a comprehensive coverage of engineering graphics principles. This text takes...
The SOLIDWORKS 2018 Reference Guide is a comprehensive reference book written to assist the beginner to intermediate user of SOLIDWORKS 2018. SOLIDWORKS is an immense...
SOLIDWORKS 2019 Advanced Techniques picks up where SOLIDWORKS Intermediate Skills leaves off. Its aim is to take you from an intermediate user with a basic...
SOLIDWORKS Basic Tools is the first book in a three part series. It introduces new users to the SOLIDWORKS interface, SOLIDWORKS tools and basic modeling...
Comprising one volume ofFunctional and Modified Polymeric Materials, TwoVolume Set, this wellorganized collection of papers by Professor Eli Ruckenstein and coworkers focuses on functional and...
Written by an engineer and sharply focused on practical matters, this text explores the application of Lie groups to solving ordinary differential equations (ODEs). Although...
A complete and uptodate presentation of the fundamental theoretical principles and many applications of solvent extraction, this enhanced Solvent Extraction Principles and Practice, Second Edition...
This book compiles information relevant to understanding soybean production processes and condenses it into a single volume. The authors identify production practices and bring together...
This book provides uptodate knowledge of space debris and valuable insights on how to grapple with this issue from legal, technical, economical and societal aspects....
Volume 1, 167 pp., hardcover, ex library, else text clean & binding tight. *Buyer is responsible for any additional duties, taxes, or fees required by...
Investigations in space have been conducted in both manned and unmanned space vehicles. Space: Technologies, Materials and Structures explains the development of hardware and instrumentation...
Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is...
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