Rath amiya kumar (43 résultats)

Paperback. Etat : Good. No detailed description available for "Fundamentals of Software Engineering".

Paperback. Etat : Good. No detailed description available for "Fundamentals of Software Engineering".

Paperback. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Etat : Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

pbk. Contents 1 Programming techniques 2 C fundamentals 3 Expressions and operators 4 Data input output 5 Control statements 6 Arrays and strings 7 Functions 8 Pointers 9 Structure union and enumeration Summary Exercises File handling C preprocessor This book provides in computer programming with C It includes complete and understandable explanations of the commonly used features of C A wide reader audience ranging from beginning programmers to practicing professional can use this book The programs illustrated in this book have been accumulated experienced and tested by authorsSalient features Detailed exposition of computer systems Comprehensive problem solving Includes tested programmes Previous examples of illustrated concepts Detailed description of computer applications Eminently suitable for self studies An idle text book for students of BTech MCA MSc computer science MBA BCA BBA and B Pharmacy courses under BPUT and other universities in India 540 pp.…

Soft cover. Etat : As New. 2nd Edition. Contents 1 Introduction to Data Structures 2 Algorithm and Analysis 3 Arrays and Strings 4 Single Linked List 5 Double Linked List 6 Sparse Matrix and Polynomials 7 Stack and Recursion 8 Queue 9 Trees 10 Graphs 11 Searching and Sorting 12 Hashing 13 Dynamic Storage Management 14 Files Index BibliographyThe test emphasizes details about the concepts of different data structures and their implementation The level of presentation is kept simple and illustrative so that even average readers can maximum benefit out of it Practically this book will provider everything the reader needs to know on data structureSalient Features Follows the development of data structure form its theoretical conception to its concrete realization Provides a comprehensive coverage of the subject Demonstrates the development of algorithms in a simpler manner Demonstrates the implementation of algorithms in a good programming style Includes numerous illustrative examples 635 pp.…

Etat : New.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : New. 2nd ed.

Etat : New.

paperback. Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New. In English.

Paperback. Etat : New. 2nd ed.

Etat : New.

Etat : New.

Etat : New.

Hardback. Etat : New.

Etat : New.

Hardback. Etat : New.

Hardback. Etat : New.

Hardback. Etat : New.

Paperback. Etat : Brand New. 2nd ed. edition. 574 pages. 7.50x1.30x9.25 inches. In Stock. This item is printed on demand.

Paperback. Etat : new. Paperback. AI increases growth in data center infrastructure, enabling advances in machine learning, cloud computing, and digital services. However, the expansion of AI data centers raises concerns about environmental sustainability, particularly regarding their water and energy consumption. Water is essential for cooling servers and maintaining operational efficiency yet increasing demand places stress on local water resources. As governments, technology companies, and communities grapple with the environmental implications of AI development, questions of governance, transparency, and resource management become important. Emerging innovations in cooling technologies, water recycling systems, and sustainable facility design may help reduce environmental impacts. Examining the intersection of AI data centers and water sustainability reveals how technological progress can be balanced with responsible environmental stewardship. AI Data Centers and Water Sustainability: Environmental Impacts, Governance, and Innovation explores how the rapid growth of AI data centers affects water resources and environmental sustainability through their cooling and operational requirements. It examines the governance frameworks, corporate responsibilities, and technological innovations that reduce water consumption, improve transparency, and support more sustainable AI infrastructure. This book covers topics such as data science, sustainable development, and water resources, and is a useful resource for business owners, engineers, policymakers, academicians, researchers, and environmental scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Etat : new. Hardcover. AI increases growth in data center infrastructure, enabling advances in machine learning, cloud computing, and digital services. However, the expansion of AI data centers raises concerns about environmental sustainability, particularly regarding their water and energy consumption. Water is essential for cooling servers and maintaining operational efficiency yet increasing demand places stress on local water resources. As governments, technology companies, and communities grapple with the environmental implications of AI development, questions of governance, transparency, and resource management become important. Emerging innovations in cooling technologies, water recycling systems, and sustainable facility design may help reduce environmental impacts. Examining the intersection of AI data centers and water sustainability reveals how technological progress can be balanced with responsible environmental stewardship. AI Data Centers and Water Sustainability: Environmental Impacts, Governance, and Innovation explores how the rapid growth of AI data centers affects water resources and environmental sustainability through their cooling and operational requirements. It examines the governance frameworks, corporate responsibilities, and technological innovations that reduce water consumption, improve transparency, and support more sustainable AI infrastructure. This book covers topics such as data science, sustainable development, and water resources, and is a useful resource for business owners, engineers, policymakers, academicians, researchers, and environmental scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Etat : new. Paperback. AI increases growth in data center infrastructure, enabling advances in machine learning, cloud computing, and digital services. However, the expansion of AI data centers raises concerns about environmental sustainability, particularly regarding their water and energy consumption. Water is essential for cooling servers and maintaining operational efficiency yet increasing demand places stress on local water resources. As governments, technology companies, and communities grapple with the environmental implications of AI development, questions of governance, transparency, and resource management become important. Emerging innovations in cooling technologies, water recycling systems, and sustainable facility design may help reduce environmental impacts. Examining the intersection of AI data centers and water sustainability reveals how technological progress can be balanced with responsible environmental stewardship. AI Data Centers and Water Sustainability: Environmental Impacts, Governance, and Innovation explores how the rapid growth of AI data centers affects water resources and environmental sustainability through their cooling and operational requirements. It examines the governance frameworks, corporate responsibilities, and technological innovations that reduce water consumption, improve transparency, and support more sustainable AI infrastructure. This book covers topics such as data science, sustainable development, and water resources, and is a useful resource for business owners, engineers, policymakers, academicians, researchers, and environmental scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Etat : new. Paperback. AI data centers are rapidly emerging in rural areas across the globe as the demand for artificial intelligence technologies continues to expand. These large-scale facilities play a critical role in storing data and training machine learning models, but the resources required to operate them, most notably water, have raised growing environmental concerns. In many cases, large amounts of water are drawn from local rivers and public water supplies to cool complex data servers, placing increasing strain on the communities in which these centers are located. As the environmental footprint of AI infrastructure becomes more visible, concerns surrounding sustainability and resource consumption are becoming central topics in governmental discussions. Despite the growing attention surrounding AI data centers, there remains a lack of comprehensive academic research critically examining their environmental impact on rural communities across the globe. The Growth of AI Data Centers and the Impact on Global Water Resources examines the rapid expansion of artificial intelligence infrastructure and its growing demand on freshwater reserves. This book presents insights into how technology growth intersects sustainability challenges by highlighting real-world implications, regional case studies, and global perspectives on resource management. Covering topics such as freshwater consumption, predictive analytics for water management, and air cooling, this book is an indispensable academic resource for graduate and doctoral students, environmental scientists, climate researchers, data center managers, urban and rural development planners, policymakers, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Etat : new. Paperback. AI data centers are rapidly emerging in rural areas across the globe as the demand for artificial intelligence technologies continues to expand. These large-scale facilities play a critical role in storing data and training machine learning models, but the resources required to operate them, most notably water, have raised growing environmental concerns. In many cases, large amounts of water are drawn from local rivers and public water supplies to cool complex data servers, placing increasing strain on the communities in which these centers are located. As the environmental footprint of AI infrastructure becomes more visible, concerns surrounding sustainability and resource consumption are becoming central topics in governmental discussions. Despite the growing attention surrounding AI data centers, there remains a lack of comprehensive academic research critically examining their environmental impact on rural communities across the globe. The Growth of AI Data Centers and the Impact on Global Water Resources examines the rapid expansion of artificial intelligence infrastructure and its growing demand on freshwater reserves. This book presents insights into how technology growth intersects sustainability challenges by highlighting real-world implications, regional case studies, and global perspectives on resource management. Covering topics such as freshwater consumption, predictive analytics for water management, and air cooling, this book is an indispensable academic resource for graduate and doctoral students, environmental scientists, climate researchers, data center managers, urban and rural development planners, policymakers, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Etat : new. Hardcover. AI data centers are rapidly emerging in rural areas across the globe as the demand for artificial intelligence technologies continues to expand. These large-scale facilities play a critical role in storing data and training machine learning models, but the resources required to operate them, most notably water, have raised growing environmental concerns. In many cases, large amounts of water are drawn from local rivers and public water supplies to cool complex data servers, placing increasing strain on the communities in which these centers are located. As the environmental footprint of AI infrastructure becomes more visible, concerns surrounding sustainability and resource consumption are becoming central topics in governmental discussions. Despite the growing attention surrounding AI data centers, there remains a lack of comprehensive academic research critically examining their environmental impact on rural communities across the globe. The Growth of AI Data Centers and the Impact on Global Water Resources examines the rapid expansion of artificial intelligence infrastructure and its growing demand on freshwater reserves. This book presents insights into how technology growth intersects sustainability challenges by highlighting real-world implications, regional case studies, and global perspectives on resource management. Covering topics such as freshwater consumption, predictive analytics for water management, and air cooling, this book is an indispensable academic resource for graduate and doctoral students, environmental scientists, climate researchers, data center managers, urban and rural development planners, policymakers, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Etat : new. Hardcover. AI increases growth in data center infrastructure, enabling advances in machine learning, cloud computing, and digital services. However, the expansion of AI data centers raises concerns about environmental sustainability, particularly regarding their water and energy consumption. Water is essential for cooling servers and maintaining operational efficiency yet increasing demand places stress on local water resources. As governments, technology companies, and communities grapple with the environmental implications of AI development, questions of governance, transparency, and resource management become important. Emerging innovations in cooling technologies, water recycling systems, and sustainable facility design may help reduce environmental impacts. Examining the intersection of AI data centers and water sustainability reveals how technological progress can be balanced with responsible environmental stewardship. AI Data Centers and Water Sustainability: Environmental Impacts, Governance, and Innovation explores how the rapid growth of AI data centers affects water resources and environmental sustainability through their cooling and operational requirements. It examines the governance frameworks, corporate responsibilities, and technological innovations that reduce water consumption, improve transparency, and support more sustainable AI infrastructure. This book covers topics such as data science, sustainable development, and water resources, and is a useful resource for business owners, engineers, policymakers, academicians, researchers, and environmental scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…