• Complex Variables : with an introduction to conformal mapping and its applications 

      Spiegel, Murray R.; Lipschutz, Seymour; Schiller, John J.; Spellman, Dennis (McGraw-Hill, 2015-02-18)
      This book is designed for use as a supplement to all current standards texts or as a textbook for a formal course in complex variable theory and applications. It should also be of considerable value to those taking courses ...
    • Schaum's outline of theory and problems of complex variables 

      Spiegel, Murray R. (McGraw-Hill, 1974)
      This book is designed for use as a supplement to all current standard texts or as a textbook for a formal course in complex variable theory and applications.Topics covered include the algebra and geometry of complex ...
    • Schaum's outline of theory and problems of fourier analysis 

      Spiegel, Murray R. (Tata McGraw-Hill, 1974)
      Schaum's is the key to faster learning and higher grades in every subject. Each outline presents all the essential course information in an easy-to-follow, topic-by-topic format. Students also get hundreds of examples, ...
    • Schaum's outline of theory and problems of laplace transforms 

      Spiegel, Murray R. (McGraw-Hill, 1965)
      This book is designed for use as a supplement to all current standard texts or as a textbook for a formal course in laplace transform theory and applications. It should also be of considerable value to those taking courses ...
    • Schaum's outline of theory and problems of vector analysis and an introduction to tensor analysis 

      Spiegel, Murray R. (McGraw-Hill, 1959)
      This book is designed to be used either as a textbook for a formal course in vector analysis or as a very useful supplement to all current standard texts. It should also be of considerable value to those taking courses in ...
    • Schaum's outlines probability and statistics 

      Spiegel, Murray R.; Schiller, John J.; Srinivasan, R. Alu (McGraw-Hill, 2009)
      This Schaum's Outline gives 897 fully solved problems; concise explanations of all course fundamentals; and information on conditional probability and independence, random variables, binominal and normal distributions, ...