from collections import defaultdict, deque, Counter
# from functools import cache
# import copy
from itertools import combinations, permutations, product, accumulate, groupby, chain
# from more_itertools import distinct_permutations
from heapq import heapify, heappop, heappush
import math
import bisect
from pprint import pprint
from random import randint, shuffle, randrange
import sys
# sys.setrecursionlimit(200000)
input = lambda: sys.stdin.readline().rstrip('\n')
inf = float('inf')
mod1 = 10**9+7
mod2 = 998244353
def ceil_div(x, y): return -(-x//y)

#################################################   

class Matrix():
    def __init__(self, mat, mod=None):
        self.mat = mat
        self.n = len(mat)
        self.m = len(mat[0])
        self.mod = mod
    def __mul__(self, other):
        ret = Matrix([[0]*other.m for _ in range(self.n)], self.mod)
        for k in range(other.m):
            for i in range(self.n):
                for j in range(self.m):
                    ret[i][j] += self.mat[i][k]*other.mat[k][j]
                    if self.mod is not None: ret[i][j] %= self.mod
        return ret
    def __add__(self, other):
        ret = Matrix([[self.mat[i][j] for j in range(self.m)] for i in range(self.n)], self.mod)
        for i in range(other.n):
            for j in range(other.m):
                ret[i][j] += other.mat[i][j]
                if self.mod is not None: ret[i][j] %= self.mod
        return ret
    def __sub__(self, other):
        ret = Matrix([[self.mat[i][j] for j in range(self.m)] for i in range(self.n)], self.mod)
        for i in range(other.n):
            for j in range(other.m):
                ret[i][j] -= other.mat[i][j]
                if self.mod is not None: ret[i][j] %= self.mod
        return ret
    def __pow__(self, scalar):
        a = Matrix([[self.mat[i][j] for j in range(self.m)] for i in range(self.n)], self.mod)
        ret = Matrix.e(self.n, self.mod)
        while scalar:
            if scalar&1:
                ret *= a
            a *= a
            scalar >>= 1
        return ret
    def scalar_mul(self, a):
        ret = Matrix([[self.mat[i][j] for j in range(self.m)] for i in range(self.n)], self.mod)
        for i in range(self.n):
            for j in range(self.m):
                ret[i][j] *= a
                if self.mod is not None: ret[i][j] %= self.mod
        return ret
    def __repr__(self) -> str:
        return self.mat.__repr__()
    def __getitem__(self, i):
        return self.mat[i]
    def __setitem__(self, i, x):
        self.mat[i] = x
    def __len__(self):
        return len(self.mat)
    def t(self):
        return Matrix([list(column) for column in zip(*self.mat)], self.mod)
    def turn(matrix):
        if type(matrix) != 'Matrix':
            return Matrix([list(column) for column in zip(*matrix)])
        return Matrix([list(column) for column in zip(*matrix.mat)], matrix.mod)
    def e(size, mod):
        return Matrix([[i == j for j in range(size)] for i in range(size)], mod)

N, M, K = map(int, input().split())
A = [[False]*(M+1) for _ in range(M+1)]
div = [0]+[M//i for i in range(1, M+1)]
for i in range(1, M+1):
    for j in range(1, M+1):
        A[i][j] = abs(div[i] - div[j]) <= K
dp = [[0]+[1]*M]
dp = Matrix(dp, mod2)
A = Matrix(A, mod2)
dp = dp*A**(N-1)
ans = 0
for a in dp[0]:
    ans += a
    ans %= mod2
print(ans)