liu kun ding liang (4 Ergebnisse)

paperback. Zustand: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2013-12-01 Pages: 222 Language: Chinese Publisher: Higher Education Press. based on many years of teaching practice. according to the latest develop a mathematical foundation engineering undergraduate teaching basic requirements prepared Higher Mathematics (Vol.2) College Books . On Higher Mathematics (Vol.2) College Books points. two volumes . Next volume content of vector algebra and analytic geometry . differential and multi- function application . re- integration . in.Four Satisfaction guaranteed,or money back.

Hardcover. Zustand: New. Liang Kun (illustrator). Language:Chinese.HardCover. Pub Date:2016-06-01 Publisher: Zarva press the Dragon Boat Festival is coming. grandma told Yiyi in May five. to celebrate the Dragon Boat Festival. dragon boat. Gong drum. The Dragon King in charge of rainfall. the dragon boat race is the dragon worship. pray for good weather. a form of peace and prosperity. Iraq wanted to. he so powerful. should be able to answer all my questions? Five days and five things every night.

paperback. Zustand: New. Paperback. Pub Date: 2009 07 Pages: 343 Language: Chinese in Publisher: Nanjing University Press 21st century applied undergraduate institutions planning materials: Higher Mathematics (Economics and Management and liberal arts majors with) of the Ministry of Education. economy The Management Undergraduate mathematics foundation courses teaching the basic requirements. written in the years engaged in economic management and liberal arts majors on the basis of higher mathematics teaching. Inclu.

paperback. Zustand: New. Paperback. Pub Date: 2015-06-01 Pages: 320 Language: Chinese Publisher: Nanjing University Press Linear Algebra (Second Edition). the second edition of the book consists of five chapters. including: determinant. matrix and its operation . elementary transformation of matrix. linear correlation vectors. linear equations with Gaussian elimination. eigenvalues ??and eigenvectors of matrix diagonalization. quadratic. End of the book with exercises answer.