We'll never share your email with anyone else.
About the Journal:

The Journal of The Orissa Mathematical Society publishes referred original research articles in the areas of Pure & Applied Mathematics, Statistics, Operations Research & Computer Science. The Journal is published in two numbers per volume per year.

Submission of Paper:

Authors are requested to submit the soft copy of the manuscripts to the chief Editor or to the Managing Editor. If the paper is accepted the authors shall submit the .tex files prepared by them in AMS Latex.

The paper submitted to the Journal of The Orissa Mathematical Society should be original: neither published previously nor under consideration for publication elsewhere.

Preparation of Manuscript:

The manuscript should be written in English. The paper should be typed in double spacing . The paper should carry full postal address and e-mail address of each author, with an abstract in not more than 200 words, keywords and 2000 AMS Subject Classification Number. All figures should be numbered with consecutive Arabic numerals, have descriptive captions and be mentioned in the text.

The figures should be kept separate from the text , but indication should be made of approximate position for each in the margin. Figures submitted must be of high standard for direct reproduction.

Tables in the paper should be numbered consecutively with roman numerals. References must be indicated in the text by Arabic numerals e.g.[1]. The full list should be collected at the end against each numeral. All references style should conform to the following:

For Journal paper:

Author, Title of Paper, Journal name in italics, Volume no. (issue no), Pages, year. 1. Rao, C.R. Test of significances in multivariate analysis, Biometrica, 35, 58-79,1948.

For Books:

Author, Title in italics,(edition), Publisher, Publishing place, year. rd 2. Braess, D., finite Elements, 3 edition, Cambridge University Press, Cambridge, 2007.

For Conference Proceedings:

Author, Title of Paper, Name of Conference in italics, Place, Year. 3. Bach , F.R., Lanckriet, G.R.G., Jordan, M.I., Multiple kernel learning , conic duality, and the smo algorithm, In proceedings of the twenty-first international conference on Machine learning, New York, USA, 2004.


Five free reprints will be provided to first named author of the paper.


Rate per volume Rs.500/- or $ 50.00 inclusive of postage and handling charges. The subscription order may be placed with Managing Editor.