London Journal of Research in Science: Natural and Formal

B: Mathematical Science

Introduction

London Journal of Research in Sciences-Natural and Formal is an international journal for research papers and articles of various branches of natural and formal science and its further streams. Our primary objective is to provide publication following eminent standards to researchers, scientists, professionals, and scholars.

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Mathematical Science is inclusive of mathematics, statistics, numerical analysis and other fields of science of mathematical in nature. Numerical Analysis is used to study algorithms for the problems in mathematical analysis with the use of numerical approximation. Statistics deals with collection and analysis of data. It’s interpretation, presentation and organization. Decision Theory is involved in calculating the issues relevant to making decisions moreover optimal decisions. The uncertainties and rationalities involved in reaching to an optimal decision.

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Creative Commons Licensed

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Open & Hybrid Access Available

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Author Retains Unrestricted Copyrights

Identifier

DOI
(Digital Object Identifier)

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In all relevant organizations

Acknowledgements

We are thankful to Research Councils UK (http://www.rcuk.ac.uk/), Australian-European Network (AEN), The Utrecht Network (UN) and Natural Sciences and Engineering Research Council of Canada. We respect the standards of Biotechnology & Biological Sciences Research Council (BBSRC), Engineering & Physical Sciences Research Council (EPSRC), Natural Environment Research Council (NERC), Science and Technology Facilities Council (STFC) Indexed classification system: We are thankful to Australian and New Zealand Standard Research Classification (ANZSRC): FOR and Science Council of Japan (SCJ): JRECIN

DOI: 10.17472/LJRS
(Print) ISSN 2631-8490
(Online) ISSN 2631-8504


CODESIGN: LJRS
Society Accreditation: Yes | Active


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Volume: 19 | Issue: 6 | Compilation: 1

Introducing DeepReview

Artificial Intelligence Based Peer Reviewer
Meet DeepReview, our 3rd reviewer in the extensive double-blind peer-review process. It's a new generation of Artifical Intelligence that works on deep neural network of machine learning to review research papers. At London Journals Press, we follow an exhaustive process of peer-review, and each article is reviewed by at least two peer reviewers and a team of editorial board members. DeepReview acts as the third peer reviewer that can detect writing styles, plagiarism (for the second time), grammar, contextual spellings, vocabulary, and quality of the article without any human biasing
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All streams of research work may be indexed/cataloged as one of the three widely accepted systems UDC, DDC or LCC.


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