We provide a variety of codes which implement some of the ideas in our RMP article. These codes use DMFT to solve problems ranging from simple model Hamiltonians to complex materials. A number of codes are provided to solve the impurity model using various approximations. A modified version of Savrasov's Lmtart code (ie. a DFT code) is provided to generate the k-space Hamitlonian matrix for a given material. The output of this code may then be used with the k-sum code, which implements the DMFT self-consistency condition, in conjunction with the various impurity solvers in order to perform realistic LDA+DMFT calculations. The DFT code, the k-sum code, and the impurity solvers are all seperate entities which must be run in succession in order to perform DMFT calculations. A seperate approach may be used with LISA. LISA takes as input real-space hopping paramters, anything ranging from a simple model Hamitlonian to a complex material, and will perform single-site or cluster DMFT (QMC) calculations. See the appendix of the review for more general background.

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