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Titlebook: Structural Geology and Tectonics Field Guidebook — Volume 1; Soumyajit Mukherjee Book 2021 Springer Nature Switzerland AG 2021 Field Guide

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书目名称Structural Geology and Tectonics Field Guidebook — Volume 1
编辑Soumyajit Mukherjee
视频video
概述Offers a well-structured guide to start your career as a field geologist.Illustrated guide with attractive colour and clear photographs.Presents a lucid description of structural geological fieldwork
丛书名称Springer Geology
图书封面Titlebook: Structural Geology and Tectonics Field Guidebook — Volume 1;  Soumyajit Mukherjee Book 2021 Springer Nature Switzerland AG 2021 Field Guide
描述.This book helps a novice to explore the terrain independently. Geoscience fieldwork with a focus on structural geology and tectonics has become more important in the last few years from both academic and industrial perspectives. This book also works as a resource material for batches of students or geological survey professional undergoing training as parts of their course curriculum. Industry persons, on the other hand, can get a first-hand idea about what to expect in the field, in case no academic person is available with the team. This book focused on structural geology and tectonics compiles for the very first time terrains from several regions of the globe..
出版日期Book 2021
关键词Field Guidebook; Structural Geology; Tectonics; Deformation Structures; Stratigraphy; hydrogeology
版次1
doihttps://doi.org/10.1007/978-3-030-60143-0
isbn_softcover978-3-030-60142-3
isbn_ebook978-3-030-60143-0Series ISSN 2197-9545 Series E-ISSN 2197-9553
issn_series 2197-9545
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Shilpa Patil Pillai,Vivek S. Kaleion, we will make one further restrictions on the quantifiers to be considered in this sec- tion: we will assume that they obey EXT. This was defined in chapter 3; here we repeat definition 3.2.5 simplified to the (1, 1) type:.. (EXT) A quantifier Q of type (1, 1) follows EXT if for all ., ..,.. ⊆ .
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Rajkumar Ghosh,Soumyajit Mukherjeems in complex form, based on linear interpolation (or two-sided prediction) theory as a generalization of linear prediction theory. The conventionally adopted QRD-LSL prediction algorithm can be derived directly from the QRD-LSL interpolation algorithm and then extended to solve the joint process es
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Mohit Kumar Puniya,Soumyajit Mukherjeems in complex form, based on linear interpolation (or two-sided prediction) theory as a generalization of linear prediction theory. The conventionally adopted QRD-LSL prediction algorithm can be derived directly from the QRD-LSL interpolation algorithm and then extended to solve the joint process es
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